[논문리뷰] jina-reranker-v3: Last but Not Late Interaction for Document Reranking
이 [arXiv]에 게시한 ‘jina-reranker-v3: Last but Not Late Interaction for Document Reranking’ 논문에 대한 자세한 리뷰입니다.
Review
[논문리뷰] dParallel: Learnable Parallel Decoding for dLLMs
이 [arXiv]에 게시한 ‘dParallel: Learnable Parallel Decoding for dLLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] d^2Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching
Jiarui Wang이 [arXiv]에 게시한 ‘d^2Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning
Yue Min이 [arXiv]에 게시한 ‘Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Who’s Your Judge? On the Detectability of LLM-Generated Judgments
이 [arXiv]에 게시한 ‘Who’s Your Judge? On the Detectability of LLM-Generated Judgments’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Who invented deep residual learning?
Juergen Schmidhuber이 [arXiv]에 게시한 ‘Who invented deep residual learning?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Voice Evaluation of Reasoning Ability: Diagnosing the Modality-Induced Performance Gap
Hengfan Zhang이 [arXiv]에 게시한 ‘Voice Evaluation of Reasoning Ability: Diagnosing the Modality-Induced Performance Gap’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications
이 [arXiv]에 게시한 ‘VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes
Muhammad Huzaifa이 [arXiv]에 게시한 ‘VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play
Jing Shi이 [arXiv]에 게시한 ‘Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning
이 [arXiv]에 게시한 ‘TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Thinking Sparks!: Emergent Attention Heads in Reasoning Models During Post Training
이 [arXiv]에 게시한 ‘Thinking Sparks!: Emergent Attention Heads in Reasoning Models During Post Training’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
이 [arXiv]에 게시한 ‘The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Test-Time Policy Adaptation for Enhanced Multi-Turn Interactions with LLMs
Yao Shu이 [arXiv]에 게시한 ‘Test-Time Policy Adaptation for Enhanced Multi-Turn Interactions with LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TTT3R: 3D Reconstruction as Test-Time Training
Anpei Chen이 [arXiv]에 게시한 ‘TTT3R: 3D Reconstruction as Test-Time Training’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TAU: A Benchmark for Cultural Sound Understanding Beyond Semantics
Szu-Chi Chen이 [arXiv]에 게시한 ‘TAU: A Benchmark for Cultural Sound Understanding Beyond Semantics’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation
이 [arXiv]에 게시한 ‘Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models
이 [arXiv]에 게시한 ‘Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Regression Language Models for Code
이 [arXiv]에 게시한 ‘Regression Language Models for Code’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ProfVLM: A Lightweight Video-Language Model for Multi-View Proficiency Estimation
Antonio Liotta이 [arXiv]에 게시한 ‘ProfVLM: A Lightweight Video-Language Model for Multi-View Proficiency Estimation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark
Penghao Zhu이 [arXiv]에 게시한 ‘Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always!
이 [arXiv]에 게시한 ‘OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always!’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OceanGym: A Benchmark Environment for Underwater Embodied Agents
이 [arXiv]에 게시한 ‘OceanGym: A Benchmark Environment for Underwater Embodied Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation
Limin Wang이 [arXiv]에 게시한 ‘MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] More Thought, Less Accuracy? On the Dual Nature of Reasoning in Vision-Language Models
Fabian Waschkowski이 [arXiv]에 게시한 ‘More Thought, Less Accuracy? On the Dual Nature of Reasoning in Vision-Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Mem-α: Learning Memory Construction via Reinforcement Learning
Yuzhen Mao이 [arXiv]에 게시한 ‘Mem-α: Learning Memory Construction via Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use
이 [arXiv]에 게시한 ‘MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MANI-Pure: Magnitude-Adaptive Noise Injection for Adversarial Purification
Zhiming Luo이 [arXiv]에 게시한 ‘MANI-Pure: Magnitude-Adaptive Noise Injection for Adversarial Purification’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training
Koustuv Sinha이 [arXiv]에 게시한 ‘Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs
이 [arXiv]에 게시한 ‘Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LayerD: Decomposing Raster Graphic Designs into Layers
Kota Yamaguchi이 [arXiv]에 게시한 ‘LayerD: Decomposing Raster Graphic Designs into Layers’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Knowledge Homophily in Large Language Models
Nedim Lipka이 [arXiv]에 게시한 ‘Knowledge Homophily in Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] InfoAgent: Advancing Autonomous Information-Seeking Agents
이 [arXiv]에 게시한 ‘InfoAgent: Advancing Autonomous Information-Seeking Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance
이 [arXiv]에 게시한 ‘IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Humanline: Online Alignment as Perceptual Loss
이 [arXiv]에 게시한 ‘Humanline: Online Alignment as Perceptual Loss’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents
이 [arXiv]에 게시한 ‘Ferret-UI Lite: Lessons from Building Small On-Device GUI Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Estimating Time Series Foundation Model Transferability via In-Context Learning
Jun Qi이 [arXiv]에 게시한 ‘Estimating Time Series Foundation Model Transferability via In-Context Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] EntroPE: Entropy-Guided Dynamic Patch Encoder for Time Series Forecasting
이 [arXiv]에 게시한 ‘EntroPE: Entropy-Guided Dynamic Patch Encoder for Time Series Forecasting’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Efficient Audio-Visual Speech Separation with Discrete Lip Semantics and Multi-Scale Global-Local Attention
이 [arXiv]에 게시한 ‘Efficient Audio-Visual Speech Separation with Discrete Lip Semantics and Multi-Scale Global-Local Attention’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
이 [arXiv]에 게시한 ‘DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder
이 [arXiv]에 게시한 ‘DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] DA^2: Depth Anything in Any Direction
이 [arXiv]에 게시한 ‘DA^2: Depth Anything in Any Direction’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Context Is What You Need: The Maximum Effective Context Window for Real World Limits of LLMs
normanpaulsen이 [arXiv]에 게시한 ‘Context Is What You Need: The Maximum Effective Context Window for Real World Limits of LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] BuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software
이 [arXiv]에 게시한 ‘BuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
이 [arXiv]에 게시한 ‘Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models
이 [arXiv]에 게시한 ‘Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects
Jennifer Ding이 [arXiv]에 게시한 ‘A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language ...
[논문리뷰] Visual Jigsaw Post-Training Improves MLLMs
Lewei Lu이 [arXiv]에 게시한 ‘Visual Jigsaw Post-Training Improves MLLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs
Wei Jia이 [arXiv]에 게시한 ‘StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention
이 [arXiv]에 게시한 ‘SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer
이 [arXiv]에 게시한 ‘SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark
Yuran Wang이 [arXiv]에 게시한 ‘RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Random Policy Valuation is Enough for LLM Reasoning with Verifiable Rewards
Binxing Jiao이 [arXiv]에 게시한 ‘Random Policy Valuation is Enough for LLM Reasoning with Verifiable Rewards’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OpenGPT-4o-Image: A Comprehensive Dataset for Advanced Image Generation and Editing
Huanyu Zhang이 [arXiv]에 게시한 ‘OpenGPT-4o-Image: A Comprehensive Dataset for Advanced Image Generation and Editing’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Multiplayer Nash Preference Optimization
이 [arXiv]에 게시한 ‘Multiplayer Nash Preference Optimization’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling
이 [arXiv]에 게시한 ‘EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] EasySteer: A Unified Framework for High-Performance and Extensible LLM Steering
이 [arXiv]에 게시한 ‘EasySteer: A Unified Framework for High-Performance and Extensible LLM Steering’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] X-Streamer: Unified Human World Modeling with Audiovisual Interaction
Guoxian Song이 [arXiv]에 게시한 ‘X-Streamer: Unified Human World Modeling with Audiovisual Interaction’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] X-CoT: Explainable Text-to-Video Retrieval via LLM-based Chain-of-Thought Reasoning
Raghuveer Rao이 [arXiv]에 게시한 ‘X-CoT: Explainable Text-to-Video Retrieval via LLM-based Chain-of-Thought Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] WoW: Towards a World omniscient World model Through Embodied Interaction
Weishi Mi이 [arXiv]에 게시한 ‘WoW: Towards a World omniscient World model Through Embodied Interaction’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Where MLLMs Attend and What They Rely On: Explaining Autoregressive Token Generation
Shiming Liu이 [arXiv]에 게시한 ‘Where MLLMs Attend and What They Rely On: Explaining Autoregressive Token Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] WebGen-Agent: Enhancing Interactive Website Generation with Multi-Level Feedback and Step-Level Reinforcement Learning
Zhuofan Zong이 [arXiv]에 게시한 ‘WebGen-Agent: Enhancing Interactive Website Generation with Multi-Level Feedback and Step-Level Reinforcement Learning’ 논문에 대한 자세...
[논문리뷰] VoiceAssistant-Eval: Benchmarking AI Assistants across Listening, Speaking, and Viewing
이 [arXiv]에 게시한 ‘VoiceAssistant-Eval: Benchmarking AI Assistants across Listening, Speaking, and Viewing’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Variational Reasoning for Language Models
이 [arXiv]에 게시한 ‘Variational Reasoning for Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models
Yuchao Gu이 [arXiv]에 게시한 ‘UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] UltraHorizon: Benchmarking Agent Capabilities in Ultra Long-Horizon Scenarios
Zeyu Qin이 [arXiv]에 게시한 ‘UltraHorizon: Benchmarking Agent Capabilities in Ultra Long-Horizon Scenarios’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval
이 [arXiv]에 게시한 ‘Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval’ 논문에 대한 자세한 ...
[논문리뷰] TUN3D: Towards Real-World Scene Understanding from Unposed Images
Anna Vorontsova이 [arXiv]에 게시한 ‘TUN3D: Towards Real-World Scene Understanding from Unposed Images’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] StateX: Enhancing RNN Recall via Post-training State Expansion
Zhiyuan Liu이 [arXiv]에 게시한 ‘StateX: Enhancing RNN Recall via Post-training State Expansion’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation
Chih-Hai Su이 [arXiv]에 게시한 ‘See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SPARK: Synergistic Policy And Reward Co-Evolving Framework
이 [arXiv]에 게시한 ‘SPARK: Synergistic Policy And Reward Co-Evolving Framework’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ReviewScore: Misinformed Peer Review Detection with Large Language Models
이 [arXiv]에 게시한 ‘ReviewScore: Misinformed Peer Review Detection with Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] RefAM: Attention Magnets for Zero-Shot Referral Segmentation
Federico Tombari이 [arXiv]에 게시한 ‘RefAM: Attention Magnets for Zero-Shot Referral Segmentation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Real-Time Object Detection Meets DINOv3
Xi Shen이 [arXiv]에 게시한 ‘Real-Time Object Detection Meets DINOv3’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Quantile Advantage Estimation for Entropy-Safe Reasoning
An Zhang이 [arXiv]에 게시한 ‘Quantile Advantage Estimation for Entropy-Safe Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning
Lingpeng Kong이 [arXiv]에 게시한 ‘PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
이 [arXiv]에 게시한 ‘No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
SunYuefeng이 [arXiv]에 게시한 ‘MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation
Peter Wonka이 [arXiv]에 게시한 ‘Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning
Weipeng Zhong이 [arXiv]에 게시한 ‘MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LucidFlux: Caption-Free Universal Image Restoration via a Large-Scale Diffusion Transformer
이 [arXiv]에 게시한 ‘LucidFlux: Caption-Free Universal Image Restoration via a Large-Scale Diffusion Transformer’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LongLive: Real-time Interactive Long Video Generation
이 [arXiv]에 게시한 ‘LongLive: Real-time Interactive Long Video Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning
Gang Li이 [arXiv]에 게시한 ‘Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Language Models Can Learn from Verbal Feedback Without Scalar Rewards
이 [arXiv]에 게시한 ‘Language Models Can Learn from Verbal Feedback Without Scalar Rewards’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Instruction-Following Evaluation in Function Calling for Large Language Models
NikolaiSkripko이 [arXiv]에 게시한 ‘Instruction-Following Evaluation in Function Calling for Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models
Romann M. Weber이 [arXiv]에 게시한 ‘HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] FlashEdit: Decoupling Speed, Structure, and Semantics for Precise Image Editing
Linghe Kong이 [arXiv]에 게시한 ‘FlashEdit: Decoupling Speed, Structure, and Semantics for Precise Image Editing’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Fine-tuning Done Right in Model Editing
Du Su이 [arXiv]에 게시한 ‘Fine-tuning Done Right in Model Editing’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Finding 3D Positions of Distant Objects from Noisy Camera Movement and Semantic Segmentation Sequences
Eija Honkavaara이 [arXiv]에 게시한 ‘Finding 3D Positions of Distant Objects from Noisy Camera Movement and Semantic Segmentation Sequences’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models
Ki-Ung Song이 [arXiv]에 게시한 ‘ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning
Li Yu-Jhe이 [arXiv]에 게시한 ‘EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents
Jinyuan Li이 [arXiv]에 게시한 ‘D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training
이 [arXiv]에 게시한 ‘Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning
이 [arXiv]에 게시한 ‘CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition
이 [arXiv]에 게시한 ‘CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition’ 논문에 ...
[논문리뷰] When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity
John P Dickerson이 [arXiv]에 게시한 ‘When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models
Yuewei Zhang이 [arXiv]에 게시한 ‘VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] V-GameGym: Visual Game Generation for Code Large Language Models
Shawn Guo이 [arXiv]에 게시한 ‘V-GameGym: Visual Game Generation for Code Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld’s Episode Theory
Yanbin Fu이 [arXiv]에 게시한 ‘Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld’s Episode Theory’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them
Zhuohao Yu이 [arXiv]에 게시한 ‘TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Tree Search for LLM Agent Reinforcement Learning
Xiangxiang Chu이 [arXiv]에 게시한 ‘Tree Search for LLM Agent Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Thinking While Listening: Simple Test Time Scaling For Audio Classification
Mert Pilanci이 [arXiv]에 게시한 ‘Thinking While Listening: Simple Test Time Scaling For Audio Classification’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Thinking Augmented Pre-training
Furu Wei이 [arXiv]에 게시한 ‘Thinking Augmented Pre-training’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] The Unanticipated Asymmetry Between Perceptual Optimization and Assessment
Du Chen이 [arXiv]에 게시한 ‘The Unanticipated Asymmetry Between Perceptual Optimization and Assessment’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] StyleBench: Evaluating thinking styles in Large Language Models
Javad Lavaei이 [arXiv]에 게시한 ‘StyleBench: Evaluating thinking styles in Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Seedream 4.0: Toward Next-generation Multimodal Image Generation
Yunpeng Chen이 [arXiv]에 게시한 ‘Seedream 4.0: Toward Next-generation Multimodal Image Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines
Jiabei Xiao이 [arXiv]에 게시한 ‘SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SceneWeaver: All-in-One 3D Scene Synthesis with an Extensible and Self-Reflective Agent
Siyuan Huang이 [arXiv]에 게시한 ‘SceneWeaver: All-in-One 3D Scene Synthesis with an Extensible and Self-Reflective Agent’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning
Yu Li이 [arXiv]에 게시한 ‘ScaleDiff: Scaling Difficult Problems for Advanced Mathematical Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SD3.5-Flash: Distribution-Guided Distillation of Generative Flows
Yi-Zhe Song이 [arXiv]에 게시한 ‘SD3.5-Flash: Distribution-Guided Distillation of Generative Flows’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Residual Off-Policy RL for Finetuning Behavior Cloning Policies
Pieter Abbeel이 [arXiv]에 게시한 ‘Residual Off-Policy RL for Finetuning Behavior Cloning Policies’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Recon-Act: A Self-Evolving Multi-Agent Browser-Use System via Web Reconnaissance, Tool Generation, and Task Execution
Jinjie Gu이 [arXiv]에 게시한 ‘Recon-Act: A Self-Evolving Multi-Agent Browser-Use System via Web Reconnaissance, Tool Generation, and Task Execution’ 논문에 대한 자세한 리뷰...
[논문리뷰] Quantized Visual Geometry Grounded Transformer
Yuqi Li이 [arXiv]에 게시한 ‘Quantized Visual Geometry Grounded Transformer’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MOSS-ChatV: Reinforcement Learning with Process Reasoning Reward for Video Temporal Reasoning
Junyan Zhang이 [arXiv]에 게시한 ‘MOSS-ChatV: Reinforcement Learning with Process Reasoning Reward for Video Temporal Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources
Jing Wang이 [arXiv]에 게시한 ‘MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model
Hung-yi Lee이 [arXiv]에 게시한 ‘MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Interactive Recommendation Agent with Active User Commands
Xueyang Feng이 [arXiv]에 게시한 ‘Interactive Recommendation Agent with Active User Commands’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assets
Bowen Zhang이 [arXiv]에 게시한 ‘Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assets’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Does FLUX Already Know How to Perform Physically Plausible Image Composition?
Chen Zhao이 [arXiv]에 게시한 ‘Does FLUX Already Know How to Perform Physically Plausible Image Composition?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
Hang Zhao이 [arXiv]에 게시한 ‘Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling
Yushi Bai이 [arXiv]에 게시한 ‘CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CE-GPPO: Controlling Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
Wenping Hu이 [arXiv]에 게시한 ‘CE-GPPO: Controlling Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Blueprints of Trust: AI System Cards for End to End Transparency and Governance
Roman Zhukov이 [arXiv]에 게시한 ‘Blueprints of Trust: AI System Cards for End to End Transparency and Governance’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Behind RoPE: How Does Causal Mask Encode Positional Information?
Yeyun Gong이 [arXiv]에 게시한 ‘Behind RoPE: How Does Causal Mask Encode Positional Information?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback
Dongha Lee이 [arXiv]에 게시한 ‘BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] AutoIntent: AutoML for Text Classification
Denis Kuznetsov이 [arXiv]에 게시한 ‘AutoIntent: AutoML for Text Classification’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Video models are zero-shot learners and reasoners
rgeirhos이 [arXiv]에 게시한 ‘Video models are zero-shot learners and reasoners’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SIM-CoT: Supervised Implicit Chain-of-Thought
Yuhang Cao이 [arXiv]에 게시한 ‘SIM-CoT: Supervised Implicit Chain-of-Thought’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation
Yiming Huang이 [arXiv]에 게시한 ‘PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub
Hajimu Iida이 [arXiv]에 게시한 ‘On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Logics-Parsing Technical Report
Fan Yang이 [arXiv]에 게시한 ‘Logics-Parsing Technical Report’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation
Zhe Lin이 [arXiv]에 게시한 ‘Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines
Yanfang이 [arXiv]에 게시한 ‘LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] EmbeddingGemma: Powerful and Lightweight Text Representations
Marksherwood이 [arXiv]에 게시한 ‘EmbeddingGemma: Powerful and Lightweight Text Representations’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning
Tianyu Wang이 [arXiv]에 게시한 ‘EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Advancing Speech Understanding in Speech-Aware Language Models with GRPO
Avihu이 [arXiv]에 게시한 ‘Advancing Speech Understanding in Speech-Aware Language Models with GRPO’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Zero-Shot Multi-Spectral Learning: Reimagining a Generalist Multimodal Gemini 2.5 Model for Remote Sensing Applications
Genady Beryozkin이 [arXiv]에 게시한 ‘Zero-Shot Multi-Spectral Learning: Reimagining a Generalist Multimodal Gemini 2.5 Model for Remote Sensing Applications’ 논문에 ...
[논문리뷰] What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
Anthony Hartshorn이 [arXiv]에 게시한 ‘What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with Voxel-Aligned Prediction
Haoxiao Wang이 [arXiv]에 게시한 ‘VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with Voxel-Aligned Prediction’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] VIR-Bench: Evaluating Geospatial and Temporal Understanding of MLLMs via Travel Video Itinerary Reconstruction
So Fukuda이 [arXiv]에 게시한 ‘VIR-Bench: Evaluating Geospatial and Temporal Understanding of MLLMs via Travel Video Itinerary Reconstruction’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Reinforcement Learning on Pre-Training Data
Evander Yang이 [arXiv]에 게시한 ‘Reinforcement Learning on Pre-Training Data’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OpenGVL - Benchmarking Visual Temporal Progress for Data Curation
Viktor Petrenko이 [arXiv]에 게시한 ‘OpenGVL - Benchmarking Visual Temporal Progress for Data Curation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe
Wenshuo Ma이 [arXiv]에 게시한 ‘MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MAPO: Mixed Advantage Policy Optimization
Xuankun Rong이 [arXiv]에 게시한 ‘MAPO: Mixed Advantage Policy Optimization’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation
Yifeng Jiang이 [arXiv]에 게시한 ‘Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Large Language Models Discriminate Against Speakers of German Dialects
Katharina von der Wense이 [arXiv]에 게시한 ‘Large Language Models Discriminate Against Speakers of German Dialects’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Hyper-Bagel: A Unified Acceleration Framework for Multimodal Understanding and Generation
Jianbin Zheng이 [arXiv]에 게시한 ‘Hyper-Bagel: A Unified Acceleration Framework for Multimodal Understanding and Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel View Synthesis
Dan Xu이 [arXiv]에 게시한 ‘HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel View Synthesis’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction
Jin Zheng이 [arXiv]에 게시한 ‘GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Do You Need Proprioceptive States in Visuomotor Policies?
Yushen Liang이 [arXiv]에 게시한 ‘Do You Need Proprioceptive States in Visuomotor Policies?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching
Rui Qian이 [arXiv]에 게시한 ‘CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Baseer: A Vision-Language Model for Arabic Document-to-Markdown OCR
Zeina Aldallal이 [arXiv]에 게시한 ‘Baseer: A Vision-Language Model for Arabic Document-to-Markdown OCR’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs
Anand Mishra이 [arXiv]에 게시한 ‘When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs’ 논문에...
[논문리뷰] VideoFrom3D: 3D Scene Video Generation via Complementary Image and Video Diffusion Models
Sunghyun Cho이 [arXiv]에 게시한 ‘VideoFrom3D: 3D Scene Video Generation via Complementary Image and Video Diffusion Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery
Shiya Huang이 [arXiv]에 게시한 ‘VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Understanding Embedding Scaling in Collaborative Filtering
Yonghui Yang이 [arXiv]에 게시한 ‘Understanding Embedding Scaling in Collaborative Filtering’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Turk-LettuceDetect: A Hallucination Detection Models for Turkish RAG Applications
Fatma Betül Terzioğlu이 [arXiv]에 게시한 ‘Turk-LettuceDetect: A Hallucination Detection Models for Turkish RAG Applications’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs
Shaohui Jiao이 [arXiv]에 게시한 ‘TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Synthetic bootstrapped pretraining
Emmanuel Candès이 [arXiv]에 게시한 ‘Synthetic bootstrapped pretraining’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
Yannis Yiming He이 [arXiv]에 게시한 ‘SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning
Zhaopeng Tu이 [arXiv]에 게시한 ‘SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Reasoning Core: A Scalable RL Environment for LLM Symbolic Reasoning
Damien Sileo이 [arXiv]에 게시한 ‘Reasoning Core: A Scalable RL Environment for LLM Symbolic Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Qwen3-Omni Technical Report
Lhma-aslp이 [arXiv]에 게시한 ‘Qwen3-Omni Technical Report’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models
Jae-Joon Kim이 [arXiv]에 게시한 ‘QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OmniInsert: Mask-Free Video Insertion of Any Reference via Diffusion Transformer Models
Pengze Zhang이 [arXiv]에 게시한 ‘OmniInsert: Mask-Free Video Insertion of Any Reference via Diffusion Transformer Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction
Xintao Chen이 [arXiv]에 게시한 ‘MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Mano Report
Minghui Wu이 [arXiv]에 게시한 ‘Mano Report’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LIMI: Less is More for Agency
happyZYM이 [arXiv]에 게시한 ‘LIMI: Less is More for Agency’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning
Hou Pong Chan이 [arXiv]에 게시한 ‘GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] From Uniform to Heterogeneous: Tailoring Policy Optimization to Every Token’s Nature
Bin Cui이 [arXiv]에 게시한 ‘From Uniform to Heterogeneous: Tailoring Policy Optimization to Every Token’s Nature’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem
Ahmed E. Hassan이 [arXiv]에 게시한 ‘From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] FlagEval Findings Report: A Preliminary Evaluation of Large Reasoning Models on Automatically Verifiable Textual and Visual Questions
tengdai722이 [arXiv]에 게시한 ‘FlagEval Findings Report: A Preliminary Evaluation of Large Reasoning Models on Automatically Verifiable Textual and Visual Questio...
[논문리뷰] EpiCache: Episodic KV Cache Management for Long Conversational Question Answering
Minsik Cho이 [arXiv]에 게시한 ‘EpiCache: Episodic KV Cache Management for Long Conversational Question Answering’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] DiffusionNFT: Online Diffusion Reinforcement with Forward Process
Qinsheng Zhang이 [arXiv]에 게시한 ‘DiffusionNFT: Online Diffusion Reinforcement with Forward Process’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] DIWALI - Diversity and Inclusivity aWare cuLture specific Items for India: Dataset and Assessment of LLMs for Cultural Text Adaptation in Indian Context
Maunendra Sankar Desarkar이 [arXiv]에 게시한 ‘DIWALI - Diversity and Inclusivity aWare cuLture specific Items for India: Dataset and Assessment of LLMs for Cultur...
[논문리뷰] Cross-Attention is Half Explanation in Speech-to-Text Models
Luisa Bentivogli이 [arXiv]에 게시한 ‘Cross-Attention is Half Explanation in Speech-to-Text Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ContextFlow: Training-Free Video Object Editing via Adaptive Context Enrichment
Yue Ma이 [arXiv]에 게시한 ‘ContextFlow: Training-Free Video Object Editing via Adaptive Context Enrichment’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CodeFuse-CR-Bench: A Comprehensiveness-aware Benchmark for End-to-End Code Review Evaluation in Python Projects
Hang Yu이 [arXiv]에 게시한 ‘CodeFuse-CR-Bench: A Comprehensiveness-aware Benchmark for End-to-End Code Review Evaluation in Python Projects’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ByteWrist: A Parallel Robotic Wrist Enabling Flexible and Anthropomorphic Motion for Confined Spaces
Jiafeng Xu이 [arXiv]에 게시한 ‘ByteWrist: A Parallel Robotic Wrist Enabling Flexible and Anthropomorphic Motion for Confined Spaces’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] AuditoryBench++: Can Language Models Understand Auditory Knowledge without Hearing?
Jaeho Lee이 [arXiv]에 게시한 ‘AuditoryBench++: Can Language Models Understand Auditory Knowledge without Hearing?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels
Qi Zhang이 [arXiv]에 게시한 ‘Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ARE: Scaling Up Agent Environments and Evaluations
Matteo Bettini이 [arXiv]에 게시한 ‘ARE: Scaling Up Agent Environments and Evaluations’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] WhisTLE: Deeply Supervised, Text-Only Domain Adaptation for Pretrained Speech Recognition Transformers
Karun Kumar이 [arXiv]에 게시한 ‘WhisTLE: Deeply Supervised, Text-Only Domain Adaptation for Pretrained Speech Recognition Transformers’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Video2Roleplay: A Multimodal Dataset and Framework for Video-Guided Role-playing Agents
Chao Zhang이 [arXiv]에 게시한 ‘Video2Roleplay: A Multimodal Dataset and Framework for Video-Guided Role-playing Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SPATIALGEN: Layout-guided 3D Indoor Scene Generation
Yongsen Mao이 [arXiv]에 게시한 ‘SPATIALGEN: Layout-guided 3D Indoor Scene Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation
Steven Liu이 [arXiv]에 게시한 ‘RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes
Narendra Ahuja이 [arXiv]에 게시한 ‘RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
jialingt이 [arXiv]에 게시한 ‘MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Lynx: Towards High-Fidelity Personalized Video Generation
Linjie Luo이 [arXiv]에 게시한 ‘Lynx: Towards High-Fidelity Personalized Video Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
Wenyu Wang이 [arXiv]에 게시한 ‘Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Do You Hear What I Mean? Quantifying the Instruction-Perception Gap in Instruction-Guided Expressive Text-To-Speech Systems
Hung-yi Lee이 [arXiv]에 게시한 ‘Do You Hear What I Mean? Quantifying the Instruction-Perception Gap in Instruction-Guided Expressive Text-To-Speech Systems’ 논문에 대...
[논문리뷰] BaseReward: A Strong Baseline for Multimodal Reward Model
jianfeipan이 [arXiv]에 게시한 ‘BaseReward: A Strong Baseline for Multimodal Reward Model’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent
Jiahui Yang이 [arXiv]에 게시한 ‘BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Ask-to-Clarify: Resolving Instruction Ambiguity through Multi-turn Dialogue
Hui Zhang이 [arXiv]에 게시한 ‘Ask-to-Clarify: Resolving Instruction Ambiguity through Multi-turn Dialogue’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning
Jiangmiao이 [arXiv]에 게시한 ‘A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] WorldForge: Unlocking Emergent 3D/4D Generation in Video Diffusion Model via Training-Free Guidance
Ruibo Li이 [arXiv]에 게시한 ‘WorldForge: Unlocking Emergent 3D/4D Generation in Video Diffusion Model via Training-Free Guidance’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Unleashing the Potential of Multimodal LLMs for Zero-Shot Spatio-Temporal Video Grounding
Rynson W. H. Lau이 [arXiv]에 게시한 ‘Unleashing the Potential of Multimodal LLMs for Zero-Shot Spatio-Temporal Video Grounding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
Xihui Liu이 [arXiv]에 게시한 ‘Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data
Zehao Li이 [arXiv]에 게시한 ‘ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation
SpaceProduct이 [arXiv]에 게시한 ‘RynnVLA-001: Using Human Demonstrations to Improve Robot Manipulation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] RecoWorld: Building Simulated Environments for Agentic Recommender Systems
Mingyuan Wu이 [arXiv]에 게시한 ‘RecoWorld: Building Simulated Environments for Agentic Recommender Systems’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Delibration
Zhilin Wang이 [arXiv]에 게시한 ‘Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Delibration’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MultiEdit: Advancing Instruction-based Image Editing on Diverse and Challenging Tasks
Xijun Gu이 [arXiv]에 게시한 ‘MultiEdit: Advancing Instruction-based Image Editing on Diverse and Challenging Tasks’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Mind the Gap: A Closer Look at Tokenization for Multiple-Choice Question Answering with LLMs
Katharina von der Wense이 [arXiv]에 게시한 ‘Mind the Gap: A Closer Look at Tokenization for Multiple-Choice Question Answering with LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] FlowRL: Matching Reward Distributions for LLM Reasoning
Hengli Li이 [arXiv]에 게시한 ‘FlowRL: Matching Reward Distributions for LLM Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning
Jiashuo Liu이 [arXiv]에 게시한 ‘FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] FSG-Net: Frequency-Spatial Synergistic Gated Network for High-Resolution Remote Sensing Change Detection
Zhewei Zhang이 [arXiv]에 게시한 ‘FSG-Net: Frequency-Spatial Synergistic Gated Network for High-Resolution Remote Sensing Change Detection’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation
Kishan Panaganti이 [arXiv]에 게시한 ‘Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] EchoVLM: Dynamic Mixture-of-Experts Vision-Language Model for Universal Ultrasound Intelligence
Qinghua Huang이 [arXiv]에 게시한 ‘EchoVLM: Dynamic Mixture-of-Experts Vision-Language Model for Universal Ultrasound Intelligence’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] AToken: A Unified Tokenizer for Vision
Mingze Xu이 [arXiv]에 게시한 ‘AToken: A Unified Tokenizer for Vision’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Wan-Animate: Unified Character Animation and Replacement with Holistic Replication
Mingyang Huang이 [arXiv]에 게시한 ‘Wan-Animate: Unified Character Animation and Replacement with Holistic Replication’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning
Yicheng Pan이 [arXiv]에 게시한 ‘THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SteeringControl: Holistic Evaluation of Alignment Steering in LLMs
Zhun Wang이 [arXiv]에 게시한 ‘SteeringControl: Holistic Evaluation of Alignment Steering in LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning
Zhou Yang이 [arXiv]에 게시한 ‘Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SAIL-VL2 Technical Report
Zijian Kang이 [arXiv]에 게시한 ‘SAIL-VL2 Technical Report’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era
Zihao Dongfang이 [arXiv]에 게시한 ‘PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook
Bowen Zhou이 [arXiv]에 게시한 ‘MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Improving Context Fidelity via Native Retrieval-Augmented Reasoning
Xiangru Tang이 [arXiv]에 게시한 ‘Improving Context Fidelity via Native Retrieval-Augmented Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale
Bernard Ghanem이 [arXiv]에 게시한 ‘Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] GenExam: A Multidisciplinary Text-to-Image Exam
Yu Qiao이 [arXiv]에 게시한 ‘GenExam: A Multidisciplinary Text-to-Image Exam’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research
Houquan Zhou이 [arXiv]에 게시한 ‘WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning
Huifeng Yin이 [arXiv]에 게시한 ‘WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents
Wenbiao Yin이 [arXiv]에 게시한 ‘WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Towards General Agentic Intelligence via Environment Scaling
Guangyu Li이 [arXiv]에 게시한 ‘Towards General Agentic Intelligence via Environment Scaling’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Single-stream Policy Optimization
Zihan Ding이 [arXiv]에 게시한 ‘Single-stream Policy Optimization’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Scaling Agents via Continual Pre-training
Guangyu Li이 [arXiv]에 게시한 ‘Scaling Agents via Continual Pre-training’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization
Litu Ou이 [arXiv]에 게시한 ‘ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Optimal Brain Restoration for Joint Quantization and Sparsification of LLMs
Luca Benini이 [arXiv]에 게시한 ‘Optimal Brain Restoration for Joint Quantization and Sparsification of LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis
Bo Liu이 [arXiv]에 게시한 ‘Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Multimodal Reasoning for Science: Technical Report and 1st Place Solution to the ICML 2025 SeePhys Challenge
Wentao Zhang이 [arXiv]에 게시한 ‘Multimodal Reasoning for Science: Technical Report and 1st Place Solution to the ICML 2025 SeePhys Challenge’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation
Lixin Xu이 [arXiv]에 게시한 ‘Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Exact Coset Sampling for Quantum Lattice Algorithms
Yifan Zhang이 [arXiv]에 게시한 ‘Exact Coset Sampling for Quantum Lattice Algorithms’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving
Shansan Gong이 [arXiv]에 게시한 ‘EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] 3D Aware Region Prompted Vision Language Model
Xiaolong Li이 [arXiv]에 게시한 ‘3D Aware Region Prompted Vision Language Model’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning
Yongliang Shen이 [arXiv]에 게시한 ‘UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SearchInstruct: Enhancing Domain Adaptation via Retrieval-Based Instruction Dataset Creation
Heshaam Faili이 [arXiv]에 게시한 ‘SearchInstruct: Enhancing Domain Adaptation via Retrieval-Based Instruction Dataset Creation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits
Zhenhao Chen이 [arXiv]에 게시한 ‘PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Yang Zhou이 [arXiv]에 게시한 ‘OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Measuring Epistemic Humility in Multimodal Large Language Models
Kaiyang Zhou이 [arXiv]에 게시한 ‘Measuring Epistemic Humility in Multimodal Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Lost in Embeddings: Information Loss in Vision-Language Models
Ivan Vulić이 [arXiv]에 게시한 ‘Lost in Embeddings: Information Loss in Vision-Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Look Again, Think Slowly: Enhancing Visual Reflection in Vision-Language Models
Shuo Ren이 [arXiv]에 게시한 ‘Look Again, Think Slowly: Enhancing Visual Reflection in Vision-Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Locality in Image Diffusion Models Emerges from Data Statistics
Vincent Sitzmann이 [arXiv]에 게시한 ‘Locality in Image Diffusion Models Emerges from Data Statistics’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting
Changlong Yu이 [arXiv]에 게시한 ‘Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence
Lionel M. Ni이 [arXiv]에 게시한 ‘LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] InternScenes: A Large-scale Simulatable Indoor Scene Dataset with Realistic Layouts
Wenzhe Cai이 [arXiv]에 게시한 ‘InternScenes: A Large-scale Simulatable Indoor Scene Dataset with Realistic Layouts’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
Yixuan Tang이 [arXiv]에 게시한 ‘GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] EthicsMH: A Pilot Benchmark for Ethical Reasoning in Mental Health AI
UVSKKR이 [arXiv]에 게시한 ‘EthicsMH: A Pilot Benchmark for Ethical Reasoning in Mental Health AI’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Dr.V: A Hierarchical Perception-Temporal-Cognition Framework to Diagnose Video Hallucination by Fine-grained Spatial-Temporal Grounding
Li Zheng이 [arXiv]에 게시한 ‘Dr.V: A Hierarchical Perception-Temporal-Cognition Framework to Diagnose Video Hallucination by Fine-grained Spatial-Temporal Groundi...
[논문리뷰] CognitiveSky: Scalable Sentiment and Narrative Analysis for Decentralized Social Media
Subasish Das이 [arXiv]에 게시한 ‘CognitiveSky: Scalable Sentiment and Narrative Analysis for Decentralized Social Media’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] X-Part: high fidelity and structure coherent shape decomposition
Yunhan Yang이 [arXiv]에 게시한 ‘X-Part: high fidelity and structure coherent shape decomposition’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Virtual Agent Economies
William A. Cunningham이 [arXiv]에 게시한 ‘Virtual Agent Economies’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] VStyle: A Benchmark for Voice Style Adaptation with Spoken Instructions
Dong Zhang이 [arXiv]에 게시한 ‘VStyle: A Benchmark for Voice Style Adaptation with Spoken Instructions’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs
Jonas Geiping이 [arXiv]에 게시한 ‘The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading
Chenyu You이 [arXiv]에 게시한 ‘QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools
Xiaorui Wang이 [arXiv]에 게시한 ‘MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
Bing Su이 [arXiv]에 게시한 ‘LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] IntrEx: A Dataset for Modeling Engagement in Educational Conversations
Gabriele Pergola이 [arXiv]에 게시한 ‘IntrEx: A Dataset for Modeling Engagement in Educational Conversations’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Inpainting-Guided Policy Optimization for Diffusion Large Language Models
Chenyu Wang이 [arXiv]에 게시한 ‘Inpainting-Guided Policy Optimization for Diffusion Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis
Song Guo이 [arXiv]에 게시한 ‘InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering
Zhehao Tan이 [arXiv]에 게시한 ‘HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies
Fabian Otto이 [arXiv]에 게시한 ‘FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CMHG: A Dataset and Benchmark for Headline Generation of Minority Languages in China
XU Han이 [arXiv]에 게시한 ‘CMHG: A Dataset and Benchmark for Headline Generation of Minority Languages in China’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Visual Programmability: A Guide for Code-as-Thought in Chart Understanding
Ethan Chern이 [arXiv]에 게시한 ‘Visual Programmability: A Guide for Code-as-Thought in Chart Understanding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
Zirui Ge이 [arXiv]에 게시한 ‘VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward
Xiaoyu Tan이 [arXiv]에 게시한 ‘The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward’ 논문에 대한...
[논문리뷰] SpatialVID: A Large-Scale Video Dataset with Spatial Annotations
Jian Gao이 [arXiv]에 게시한 ‘SpatialVID: A Large-Scale Video Dataset with Spatial Annotations’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
Zhaohui Yang이 [arXiv]에 게시한 ‘SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Reasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated
Jamie Hayes이 [arXiv]에 게시한 ‘Reasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware Reasoning
Yuzheng Zhuang이 [arXiv]에 게시한 ‘OmniEVA: Embodied Versatile Planner via Task-Adaptive 3D-Grounded and Embodiment-aware Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Modality Alignment with Multi-scale Bilateral Attention for Multimodal Recommendation
Dong-Ho Lee이 [arXiv]에 게시한 ‘Modality Alignment with Multi-scale Bilateral Attention for Multimodal Recommendation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering
Jianguo Zhang이 [arXiv]에 게시한 ‘LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Kling-Avatar: Grounding Multimodal Instructions for Cascaded Long-Duration Avatar Animation Synthesis
Wentao Hu이 [arXiv]에 게시한 ‘Kling-Avatar: Grounding Multimodal Instructions for Cascaded Long-Duration Avatar Animation Synthesis’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning
Zhuowei Chen이 [arXiv]에 게시한 ‘HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents
Xintao Wang이 [arXiv]에 게시한 ‘Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Gradient-Attention Guided Dual-Masking Synergetic Framework for Robust Text-based Person Retrieval
Kaicheng Yang이 [arXiv]에 게시한 ‘Gradient-Attention Guided Dual-Masking Synergetic Framework for Robust Text-based Person Retrieval’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
Shuai Bai이 [arXiv]에 게시한 ‘FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] EchoX: Towards Mitigating Acoustic-Semantic Gap via Echo Training for Speech-to-Speech LLMs
Kaiqi Kou이 [arXiv]에 게시한 ‘EchoX: Towards Mitigating Acoustic-Semantic Gap via Echo Training for Speech-to-Speech LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Can Understanding and Generation Truly Benefit Together – or Just Coexist?
Hui Han이 [arXiv]에 게시한 ‘Can Understanding and Generation Truly Benefit Together – or Just Coexist?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] 2D Gaussian Splatting with Semantic Alignment for Image Inpainting
Guangming Lu이 [arXiv]에 게시한 ‘2D Gaussian Splatting with Semantic Alignment for Image Inpainting’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] So let's replace this phrase with insult... Lessons learned from generation of toxic texts with LLMs
Alexander Panchenko이 [arXiv]에 게시한 ‘ So let's replace this phrase with insult... Lessons learned from generation of toxic texts with LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] RewardDance: Reward Scaling in Visual Generation
Liang Li이 [arXiv]에 게시한 ‘RewardDance: Reward Scaling in Visual Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] P3-SAM: Native 3D Part Segmentation
Yunhan Yang이 [arXiv]에 게시한 ‘P3-SAM: Native 3D Part Segmentation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Hunyuan-MT Technical Report
Yang Du이 [arXiv]에 게시한 ‘Hunyuan-MT Technical Report’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants
Jacy Reese Anthis이 [arXiv]에 게시한 ‘HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] EnvX: Agentize Everything with Agentic AI
Wenzheng Tom Tang이 [arXiv]에 게시한 ‘EnvX: Agentize Everything with Agentic AI’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
Honglin Guo이 [arXiv]에 게시한 ‘AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] A Survey of Reinforcement Learning for Large Reasoning Models
Runze Liu이 [arXiv]에 게시한 ‘A Survey of Reinforcement Learning for Large Reasoning Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] 3D and 4D World Modeling: A Survey
Ao Liang이 [arXiv]에 게시한 ‘3D and 4D World Modeling: A Survey’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ΔL Normalization: Rethink Loss Aggregation in RLVR
Lili Qiu이 [arXiv]에 게시한 ‘ΔL Normalization: Rethink Loss Aggregation in RLVR’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Visual Representation Alignment for Multimodal Large Language Models
Heeseong Shin이 [arXiv]에 게시한 ‘Visual Representation Alignment for Multimodal Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward
Fei Ding이 [arXiv]에 게시한 ‘UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding
Yongcheng Zeng이 [arXiv]에 게시한 ‘Staying in the Sweet Spot: Responsive Reasoning Evolution via Capability-Adaptive Hint Scaffolding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge
Dipanjan Das이 [arXiv]에 게시한 ‘SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Reconstruction Alignment Improves Unified Multimodal Models
XuDong Wang이 [arXiv]에 게시한 ‘Reconstruction Alignment Improves Unified Multimodal Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling
Diana Marculescu이 [arXiv]에 게시한 ‘Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Xinyu Yang이 [arXiv]에 게시한 ‘Parallel-R1: Towards Parallel Thinking via Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search
Tianjian Li이 [arXiv]에 게시한 ‘Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Language Self-Play For Data-Free Training
Vijai Mohan이 [arXiv]에 게시한 ‘Language Self-Play For Data-Free Training’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
Zherui Qiu이 [arXiv]에 게시한 ‘F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference
Yingfang Zhang이 [arXiv]에 게시한 ‘Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Curia: A Multi-Modal Foundation Model for Radiology
Elodie Ferreres이 [arXiv]에 게시한 ‘Curia: A Multi-Modal Foundation Model for Radiology’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Causal Attention with Lookahead Keys
Quanquan Gu이 [arXiv]에 게시한 ‘Causal Attention with Lookahead Keys’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
Aili Chen이 [arXiv]에 게시한 ‘WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] UniVerse-1: Unified Audio-Video Generation via Stitching of Experts
Xinyao Liao이 [arXiv]에 게시한 ‘UniVerse-1: Unified Audio-Video Generation via Stitching of Experts’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
See-Kiong Ng이 [arXiv]에 게시한 ‘Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers
Xia Xiao이 [arXiv]에 게시한 ‘Scaling up Multi-Turn Off-Policy RL and Multi-Agent Tree Search for LLM Step-Provers’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Saturation-Driven Dataset Generation for LLM Mathematical Reasoning in the TPTP Ecosystem
Damien Sileo이 [arXiv]에 게시한 ‘Saturation-Driven Dataset Generation for LLM Mathematical Reasoning in the TPTP Ecosystem’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] R^textbf{2AI}: Towards Resistant and Resilient AI in an Evolving World
Bowen Zhou이 [arXiv]에 게시한 ‘R^textbf{2AI}: Towards Resistant and Resilient AI in an Evolving World’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
Ke Shen이 [arXiv]에 게시한 ‘Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Reverse-Engineered Reasoning for Open-Ended Generation
Wangchunshu Zhou이 [arXiv]에 게시한 ‘Reverse-Engineered Reasoning for Open-Ended Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Reinforcement Learning Foundations for Deep Research Systems: A Survey
Wei Han이 [arXiv]에 게시한 ‘Reinforcement Learning Foundations for Deep Research Systems: A Survey’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Reinforced Visual Perception with Tools
Mingyang Fu이 [arXiv]에 게시한 ‘Reinforced Visual Perception with Tools’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents
James Zou이 [arXiv]에 게시한 ‘Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents
Zhengxi Lu이 [arXiv]에 게시한 ‘MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Llama-GENBA-10B: A Trilingual Large Language Model for German, English and Bavarian
Hoi-Fong Mak이 [arXiv]에 게시한 ‘Llama-GENBA-10B: A Trilingual Large Language Model for German, English and Bavarian’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Interleaving Reasoning for Better Text-to-Image Generation
Shixiang Tang이 [arXiv]에 게시한 ‘Interleaving Reasoning for Better Text-to-Image Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Focusing by Contrastive Attention: Enhancing VLMs’ Visual Reasoning
Baolong Bi이 [arXiv]에 게시한 ‘Focusing by Contrastive Attention: Enhancing VLMs’ Visual Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?
Rui Chen이 [arXiv]에 게시한 ‘Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Does DINOv3 Set a New Medical Vision Standard?
Bailiang Jian이 [arXiv]에 게시한 ‘Does DINOv3 Set a New Medical Vision Standard?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] D-HUMOR: Dark Humor Understanding via Multimodal Open-ended Reasoning
Dhanvin Sanjay Namboodiri이 [arXiv]에 게시한 ‘D-HUMOR: Dark Humor Understanding via Multimodal Open-ended Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] WinT3R: Window-Based Streaming Reconstruction with Camera Token Pool
Wenzheng Chang이 [arXiv]에 게시한 ‘WinT3R: Window-Based Streaming Reconstruction with Camera Token Pool’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning
Amit Namburi이 [arXiv]에 게시한 ‘WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Why Language Models Hallucinate
Edwin Zhang이 [arXiv]에 게시한 ‘Why Language Models Hallucinate’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] U-ARM : Ultra low-cost general teleoperation interface for robot manipulation
Junda Huang이 [arXiv]에 게시한 ‘U-ARM : Ultra low-cost general teleoperation interface for robot manipulation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Symbolic Graphics Programming with Large Language Models
Kaipeng Zhang이 [arXiv]에 게시한 ‘Symbolic Graphics Programming with Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Set Block Decoding is a Language Model Inference Accelerator
Jeremy Reizenstein이 [arXiv]에 게시한 ‘Set Block Decoding is a Language Model Inference Accelerator’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] On Robustness and Reliability of Benchmark-Based Evaluation of LLMs
Kevin Roitero이 [arXiv]에 게시한 ‘On Robustness and Reliability of Benchmark-Based Evaluation of LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting
Vanessa Wildman이 [arXiv]에 게시한 ‘MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting’ 논...
[논문리뷰] LuxDiT: Lighting Estimation with Video Diffusion Transformer
Sanja Fidler이 [arXiv]에 게시한 ‘LuxDiT: Lighting Estimation with Video Diffusion Transformer’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation
Zhan Zhao이 [arXiv]에 게시한 ‘LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Bootstrapping Task Spaces for Self-Improvement
Yoram Bachrach이 [arXiv]에 게시한 ‘Bootstrapping Task Spaces for Self-Improvement’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Behavioral Fingerprinting of Large Language Models
Xing Li이 [arXiv]에 게시한 ‘Behavioral Fingerprinting of Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding
Lionel Ni이 [arXiv]에 게시한 ‘Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Transition Models: Rethinking the Generative Learning Objective
Yangguang Li이 [arXiv]에 게시한 ‘Transition Models: Rethinking the Generative Learning Objective’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Towards a Unified View of Large Language Model Post-Training
Hongyi Liu이 [arXiv]에 게시한 ‘Towards a Unified View of Large Language Model Post-Training’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings
Oren Glickman이 [arXiv]에 게시한 ‘NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?
Yu Fu이 [arXiv]에 게시한 ‘Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] From Editor to Dense Geometry Estimator
Lang Nie이 [arXiv]에 게시한 ‘From Editor to Dense Geometry Estimator’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Few-step Flow for 3D Generation via Marginal-Data Transport Distillation
Lingxi Xie이 [arXiv]에 게시한 ‘Few-step Flow for 3D Generation via Marginal-Data Transport Distillation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize
Muhao Chen이 [arXiv]에 게시한 ‘False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Durian: Dual Reference-guided Portrait Animation with Attribute Transfer
Hanbyul Joo이 [arXiv]에 게시한 ‘Durian: Dual Reference-guided Portrait Animation with Attribute Transfer’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
Chi-Li Chen이 [arXiv]에 게시한 ‘Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Drawing2CAD: Sequence-to-Sequence Learning for CAD Generation from Vector Drawings
Meie Fang이 [arXiv]에 게시한 ‘Drawing2CAD: Sequence-to-Sequence Learning for CAD Generation from Vector Drawings’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Delta Activations: A Representation for Finetuned Large Language Models
Ser-Nam Lim이 [arXiv]에 게시한 ‘Delta Activations: A Representation for Finetuned Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] DeepResearch Arena: The First Exam of LLMs’ Research Abilities via Seminar-Grounded Tasks
Jiaxuan Lu이 [arXiv]에 게시한 ‘DeepResearch Arena: The First Exam of LLMs’ Research Abilities via Seminar-Grounded Tasks’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Robix: A Unified Model for Robot Interaction, Reasoning and Planning
Zixuan Wang이 [arXiv]에 게시한 ‘Robix: A Unified Model for Robot Interaction, Reasoning and Planning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Open Data Synthesis For Deep Research
Zheng Liu이 [arXiv]에 게시한 ‘Open Data Synthesis For Deep Research’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation
Kai Li이 [arXiv]에 게시한 ‘Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement
Hualiang Wang이 [arXiv]에 게시한 ‘MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Yoav Gur-Arieh이 [arXiv]에 게시한 ‘LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ViSTA-SLAM: Visual SLAM with Symmetric Two-view Association
Daniel Cremers이 [arXiv]에 게시한 ‘ViSTA-SLAM: Visual SLAM with Symmetric Two-view Association’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
Zhiheng Lyu이 [arXiv]에 게시한 ‘VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Universal Deep Research: Bring Your Own Model and Strategy
Pavlo Molchanov이 [arXiv]에 게시한 ‘Universal Deep Research: Bring Your Own Model and Strategy’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
Haoyang Zou이 [arXiv]에 게시한 ‘UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views
Junchi Yan이 [arXiv]에 게시한 ‘Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Vie...
[논문리뷰] The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Hejia Geng이 [arXiv]에 게시한 ‘The Landscape of Agentic Reinforcement Learning for LLMs: A Survey’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] The Gold Medals in an Empty Room: Diagnosing Metalinguistic Reasoning in LLMs with Camlang
Solomon Tsai이 [arXiv]에 게시한 ‘The Gold Medals in an Empty Room: Diagnosing Metalinguistic Reasoning in LLMs with Camlang’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
Qian Liu이 [arXiv]에 게시한 ‘SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SQL-of-Thought: Multi-agentic Text-to-SQL with Guided Error Correction
bindsch이 [arXiv]에 게시한 ‘SQL-of-Thought: Multi-agentic Text-to-SQL with Guided Error Correction’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic
Bernard Ghanem이 [arXiv]에 게시한 ‘Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion
Haicheng Wang이 [arXiv]에 게시한 ‘POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning
Zirui Wang이 [arXiv]에 게시한 ‘OpenVision 2: A Family of Generative Pretrained Visual Encoders for Multimodal Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MobiAgent: A Systematic Framework for Customizable Mobile Agents
Wangbo Gong이 [arXiv]에 게시한 ‘MobiAgent: A Systematic Framework for Customizable Mobile Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Metis: Training Large Language Models with Advanced Low-Bit Quantization
Hengjie Cao이 [arXiv]에 게시한 ‘Metis: Training Large Language Models with Advanced Low-Bit Quantization’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MedDINOv3: How to adapt vision foundation models for medical image segmentation?
Xiaofeng Yang이 [arXiv]에 게시한 ‘MedDINOv3: How to adapt vision foundation models for medical image segmentation?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision
Yan-Jie Zhou이 [arXiv]에 게시한 ‘M3Ret: Unleashing Zero-shot Multimodal Medical Image Retrieval via Self-Supervision’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model
Jianwei Yang이 [arXiv]에 게시한 ‘LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Kwai Keye-VL 1.5 Technical Report
SXxtyz이 [arXiv]에 게시한 ‘Kwai Keye-VL 1.5 Technical Report’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Jointly Reinforcing Diversity and Quality in Language Model Generations
Tianlu이 [arXiv]에 게시한 ‘Jointly Reinforcing Diversity and Quality in Language Model Generations’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Improving Large Vision and Language Models by Learning from a Panel of Peers
Simon Jenni이 [arXiv]에 게시한 ‘Improving Large Vision and Language Models by Learning from a Panel of Peers’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR
Lu Wang이 [arXiv]에 게시한 ‘Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] GenCompositor: Generative Video Compositing with Diffusion Transformer
Lingen Li이 [arXiv]에 게시한 ‘GenCompositor: Generative Video Compositing with Diffusion Transformer’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games
Dongmin Park이 [arXiv]에 게시한 ‘FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models
Zhen Wang이 [arXiv]에 게시한 ‘FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Fantastic Pretraining Optimizers and Where to Find Them
Percy Liang이 [arXiv]에 게시한 ‘Fantastic Pretraining Optimizers and Where to Find Them’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Long Video Understanding
Xuanyu Zheng이 [arXiv]에 게시한 ‘ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Long Video Understanding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing
Amin Heyrani Nobar이 [arXiv]에 게시한 ‘Discrete Noise Inversion for Next-scale Autoregressive Text-based Image Editing’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] DCPO: Dynamic Clipping Policy Optimization
Kai Lu이 [arXiv]에 게시한 ‘DCPO: Dynamic Clipping Policy Optimization’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] C-DiffDet+: Fusing Global Scene Context with Generative Denoising for High-Fidelity Object Detection
Vito Renó이 [arXiv]에 게시한 ‘C-DiffDet+: Fusing Global Scene Context with Generative Denoising for High-Fidelity Object Detection’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Benchmarking Optimizers for Large Language Model Pretraining
mjaggi이 [arXiv]에 게시한 ‘Benchmarking Optimizers for Large Language Model Pretraining’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Baichuan-M2: Scaling Medical Capability with Large Verifier System
Jayok6이 [arXiv]에 게시한 ‘Baichuan-M2: Scaling Medical Capability with Large Verifier System’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation
Xiaolei Huang이 [arXiv]에 게시한 ‘Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation’ 논문에 대한 자...
[논문리뷰] AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models
Rahul Karthikeyan이 [arXiv]에 게시한 ‘AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Al...
[논문리뷰] UI-Level Evaluation of ALLaM 34B: Measuring an Arabic-Centric LLM via HUMAIN Chat
Omartificial-Intelligence-Space이 [arXiv]에 게시한 ‘UI-Level Evaluation of ALLaM 34B: Measuring an Arabic-Centric LLM via HUMAIN Chat’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] T2R-bench: A Benchmark for Generating Article-Level Reports from Real World Industrial Tables
Yu Zhao이 [arXiv]에 게시한 ‘T2R-bench: A Benchmark for Generating Article-Level Reports from Real World Industrial Tables’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning
Yuewei Zhang이 [arXiv]에 게시한 ‘PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision Regimes
Danijel Skočaj이 [arXiv]에 게시한 ‘No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision Regimes’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench
Jayanth Srinivasa이 [arXiv]에 게시한 ‘How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench’ 논문에 대한 자세한 리뷰입...
[논문리뷰] From reactive to cognitive: brain-inspired spatial intelligence for embodied agents
Songming Liu이 [arXiv]에 게시한 ‘From reactive to cognitive: brain-inspired spatial intelligence for embodied agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] UItron: Foundational GUI Agent with Advanced Perception and Planning
Yufeng Zhong이 [arXiv]에 게시한 ‘UItron: Foundational GUI Agent with Advanced Perception and Planning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TiKMiX: Take Data Influence into Dynamic Mixture for Language Model Pre-training
Jiyao Deng이 [arXiv]에 게시한 ‘TiKMiX: Take Data Influence into Dynamic Mixture for Language Model Pre-training’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models
Yifan Lu이 [arXiv]에 게시한 ‘Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TalkVid: A Large-Scale Diversified Dataset for Audio-Driven Talking Head Synthesis
Pengcheng Chen이 [arXiv]에 게시한 ‘TalkVid: A Large-Scale Diversified Dataset for Audio-Driven Talking Head Synthesis’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
Han Hu이 [arXiv]에 게시한 ‘R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Morae: Proactively Pausing UI Agents for User Choices
Amy Pavel이 [arXiv]에 게시한 ‘Morae: Proactively Pausing UI Agents for User Choices’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Mimicking the Physicist’s Eye:A VLM-centric Approach for Physics Formula Discovery
Wenjie Zhou이 [arXiv]에 게시한 ‘Mimicking the Physicist’s Eye:A VLM-centric Approach for Physics Formula Discovery’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] HERMES: Human-to-Robot Embodied Learning from Multi-Source Motion Data for Mobile Dexterous Manipulation
Tianhai Liang이 [arXiv]에 게시한 ‘HERMES: Human-to-Robot Embodied Learning from Multi-Source Motion Data for Mobile Dexterous Manipulation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] EmbodiedOneVision: Interleaved Vision-Text-Action Pretraining for General Robot Control
Zhaoqing Chen이 [arXiv]에 게시한 ‘EmbodiedOneVision: Interleaved Vision-Text-Action Pretraining for General Robot Control’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Efficient Code Embeddings from Code Generation Models
Han Xiao이 [arXiv]에 게시한 ‘Efficient Code Embeddings from Code Generation Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation
Qi Jia이 [arXiv]에 게시한 ‘Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CLIPSym: Delving into Symmetry Detection with CLIP
Raymond A. Yeh이 [arXiv]에 게시한 ‘CLIPSym: Delving into Symmetry Detection with CLIP’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
Jiamin Wu이 [arXiv]에 게시한 ‘A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] AHELM: A Holistic Evaluation of Audio-Language Models
Siwei Yang이 [arXiv]에 게시한 ‘AHELM: A Holistic Evaluation of Audio-Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code
Libo Chen이 [arXiv]에 게시한 ‘A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] rStar2-Agent: Agentic Reasoning Technical Report
Weijiang Xu이 [arXiv]에 게시한 ‘rStar2-Agent: Agentic Reasoning Technical Report’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning
Jiahe Tian이 [arXiv]에 게시한 ‘USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection
Bernard Ghanem이 [arXiv]에 게시한 ‘Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TCIA: A Task-Centric Instruction Augmentation Method for Instruction Finetuning
Simin Ma이 [arXiv]에 게시한 ‘TCIA: A Task-Centric Instruction Augmentation Method for Instruction Finetuning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ROSE: Remove Objects with Side Effects in Videos
Hantang Liu이 [arXiv]에 게시한 ‘ROSE: Remove Objects with Side Effects in Videos’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Provable Benefits of In-Tool Learning for Large Language Models
Vivien Cabannes이 [arXiv]에 게시한 ‘Provable Benefits of In-Tool Learning for Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning
Jiazi Bu이 [arXiv]에 게시한 ‘Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD
Roy Ka-Wei Lee이 [arXiv]에 게시한 ‘Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OneReward: Unified Mask-Guided Image Generation via Multi-Task Human Preference Learning
Yitong Wang이 [arXiv]에 게시한 ‘OneReward: Unified Mask-Guided Image Generation via Multi-Task Human Preference Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models
Alex Endert이 [arXiv]에 게시한 ‘OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Multi-View 3D Point Tracking
Irem Demir이 [arXiv]에 게시한 ‘Multi-View 3D Point Tracking’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Mixture of Contexts for Long Video Generation
Junfei Xiao이 [arXiv]에 게시한 ‘Mixture of Contexts for Long Video Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
Shashank Biju이 [arXiv]에 게시한 ‘MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] FakeParts: a New Family of AI-Generated DeepFakes
Xi Wang이 [arXiv]에 게시한 ‘FakeParts: a New Family of AI-Generated DeepFakes’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Dress&Dance: Dress up and Dance as You Like It - Technical Preview
Yu-Xiong Wang이 [arXiv]에 게시한 ‘Dress&Dance: Dress up and Dance as You Like It - Technical Preview’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Collaborative Multi-Modal Coding for High-Quality 3D Generation
Ziwei Liu이 [arXiv]에 게시한 ‘Collaborative Multi-Modal Coding for High-Quality 3D Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CogVLA: Cognition-Aligned Vision-Language-Action Model via Instruction-Driven Routing & Sparsification
Liqiang Nie이 [arXiv]에 게시한 ‘CogVLA: Cognition-Aligned Vision-Language-Action Model via Instruction-Driven Routing & Sparsification’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] AWorld: Orchestrating the Training Recipe for Agentic AI
Qintong Wu이 [arXiv]에 게시한 ‘AWorld: Orchestrating the Training Recipe for Agentic AI’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Taming the Chaos: Coordinated Autoscaling for Heterogeneous and Disaggregated LLM Inference
Chunlei Han이 [arXiv]에 게시한 ‘Taming the Chaos: Coordinated Autoscaling for Heterogeneous and Disaggregated LLM Inference’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] StepWiser: Stepwise Generative Judges for Wiser Reasoning
Olga Golovneva이 [arXiv]에 게시한 ‘StepWiser: Stepwise Generative Judges for Wiser Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Self-Rewarding Vision-Language Model via Reasoning Decomposition
Zhenwen Liang이 [arXiv]에 게시한 ‘Self-Rewarding Vision-Language Model via Reasoning Decomposition’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Predicting the Order of Upcoming Tokens Improves Language Modeling
Alham Fikri Aji이 [arXiv]에 게시한 ‘Predicting the Order of Upcoming Tokens Improves Language Modeling’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MotionFlux: Efficient Text-Guided Motion Generation through Rectified Flow Matching and Preference Alignment
An-An Liu이 [arXiv]에 게시한 ‘MotionFlux: Efficient Text-Guided Motion Generation through Rectified Flow Matching and Preference Alignment’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents
Yue Yao이 [arXiv]에 게시한 ‘Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MIDAS: Multimodal Interactive Digital-human Synthesis via Real-time Autoregressive Video Generation
Yan Zhou이 [arXiv]에 게시한 ‘MIDAS: Multimodal Interactive Digital-human Synthesis via Real-time Autoregressive Video Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation
Anton Ivaschenko이 [arXiv]에 게시한 ‘Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies
Sitong Mao이 [arXiv]에 게시한 ‘Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Diffusion Language Models Know the Answer Before Decoding
Shilin Yan이 [arXiv]에 게시한 ‘Diffusion Language Models Know the Answer Before Decoding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] DeepScholar-Bench: A Live Benchmark and Automated Evaluation for Generative Research Synthesis
Ion Stoica이 [arXiv]에 게시한 ‘DeepScholar-Bench: A Live Benchmark and Automated Evaluation for Generative Research Synthesis’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CODA: Coordinating the Cerebrum and Cerebellum for a Dual-Brain Computer Use Agent with Decoupled Reinforcement Learning
Jianze Liang이 [arXiv]에 게시한 ‘CODA: Coordinating the Cerebrum and Cerebellum for a Dual-Brain Computer Use Agent with Decoupled Reinforcement Learning’ 논문에 대한 ...
[논문리뷰] Beyond Transcription: Mechanistic Interpretability in ASR
Aviv Shamsian이 [arXiv]에 게시한 ‘Beyond Transcription: Mechanistic Interpretability in ASR’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] AudioStory: Generating Long-Form Narrative Audio with Large Language Models
Yixiao Ge이 [arXiv]에 게시한 ‘AudioStory: Generating Long-Form Narrative Audio with Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Wan-S2V: Audio-Driven Cinematic Video Generation
Chaonan Ji이 [arXiv]에 게시한 ‘Wan-S2V: Audio-Driven Cinematic Video Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space
Rui Chen이 [arXiv]에 게시한 ‘VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] VibeVoice Technical Report
Yaoyao Chang이 [arXiv]에 게시한 ‘VibeVoice Technical Report’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Unraveling the cognitive patterns of Large Language Models through module communities
Jianxi Gao이 [arXiv]에 게시한 ‘Unraveling the cognitive patterns of Large Language Models through module communities’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning
Ran Guo이 [arXiv]에 게시한 ‘UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling
Zhoufutu Wen이 [arXiv]에 게시한 ‘TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling’ 논문에 대한 ...
[논문리뷰] Training Language Model Agents to Find Vulnerabilities with CTF-Dojo
Zijian Wang이 [arXiv]에 게시한 ‘Training Language Model Agents to Find Vulnerabilities with CTF-Dojo’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models
Jiangjie Chen이 [arXiv]에 게시한 ‘ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Spacer: Towards Engineered Scientific Inspiration
zerojun48이 [arXiv]에 게시한 ‘Spacer: Towards Engineered Scientific Inspiration’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ReportBench: Evaluating Deep Research Agents via Academic Survey Tasks
Kai Jia이 [arXiv]에 게시한 ‘ReportBench: Evaluating Deep Research Agents via Academic Survey Tasks’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting
Manuela Veloso이 [arXiv]에 게시한 ‘QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels
Dinesh Jayaraman이 [arXiv]에 게시한 ‘Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks
Daisuke Nohara이 [arXiv]에 게시한 ‘Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OmniHuman-1.5: Instilling an Active Mind in Avatars via Cognitive Simulation
Jiaqi Yang이 [arXiv]에 게시한 ‘OmniHuman-1.5: Instilling an Active Mind in Avatars via Cognitive Simulation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ObjFiller-3D: Consistent Multi-view 3D Inpainting via Video Diffusion Models
Beiqi Chen이 [arXiv]에 게시한 ‘ObjFiller-3D: Consistent Multi-view 3D Inpainting via Video Diffusion Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MovieCORE: COgnitive REasoning in Movies
Hung-Ting Su이 [arXiv]에 게시한 ‘MovieCORE: COgnitive REasoning in Movies’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] FastMesh:Efficient Artistic Mesh Generation via Component Decoupling
Xingang Pan이 [arXiv]에 게시한 ‘FastMesh:Efficient Artistic Mesh Generation via Component Decoupling’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning
Arman Cohan이 [arXiv]에 게시한 ‘Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation
Kun Kuang이 [arXiv]에 게시한 ‘ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CineScale: Free Lunch in High-Resolution Cinematic Visual Generation
Ziwei Liu이 [arXiv]에 게시한 ‘CineScale: Free Lunch in High-Resolution Cinematic Visual Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics
Dongchen Huang이 [arXiv]에 게시한 ‘CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Autoregressive Universal Video Segmentation Model
Albert Gu이 [arXiv]에 게시한 ‘Autoregressive Universal Video Segmentation Model’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Visual-CoG: Stage-Aware Reinforcement Learning with Chain of Guidance for Text-to-Image Generation
Haoxiang Shi이 [arXiv]에 게시한 ‘Visual-CoG: Stage-Aware Reinforcement Learning with Chain of Guidance for Text-to-Image Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] UQ: Assessing Language Models on Unsolved Questions
Wei Liu이 [arXiv]에 게시한 ‘UQ: Assessing Language Models on Unsolved Questions’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Language Modeling
Jiaqi Li이 [arXiv]에 게시한 ‘TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Language Modeling’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image Generation
Xihui Liu이 [arXiv]에 게시한 ‘T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SpotEdit: Evaluating Visually-Guided Image Editing Methods
Ersin Yumer이 [arXiv]에 게시한 ‘SpotEdit: Evaluating Visually-Guided Image Editing Methods’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ST-Raptor: LLM-Powered Semi-Structured Table Question Answering
Wei Zhou이 [arXiv]에 게시한 ‘ST-Raptor: LLM-Powered Semi-Structured Table Question Answering’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] PosterGen: Aesthetic-Aware Paper-to-Poster Generation via Multi-Agent LLMs
Chenyu You이 [arXiv]에 게시한 ‘PosterGen: Aesthetic-Aware Paper-to-Poster Generation via Multi-Agent LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
Golnoosh Farnadi이 [arXiv]에 게시한 ‘Neither Valid nor Reliable? Investigating the Use of LLMs as Judges’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MeshSplat: Generalizable Sparse-View Surface Reconstruction via Gaussian Splatting
Yanzhe Liang이 [arXiv]에 게시한 ‘MeshSplat: Generalizable Sparse-View Surface Reconstruction via Gaussian Splatting’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MV-RAG: Retrieval Augmented Multiview Diffusion
sagiebenaim이 [arXiv]에 게시한 ‘MV-RAG: Retrieval Augmented Multiview Diffusion’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MEENA (PersianMMMU): Multimodal-Multilingual Educational Exams for N-level Assessment
Doratossadat Dastgheib이 [arXiv]에 게시한 ‘MEENA (PersianMMMU): Multimodal-Multilingual Educational Exams for N-level Assessment’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Limitations of Normalization in Attention Mechanism
Radu State이 [arXiv]에 게시한 ‘Limitations of Normalization in Attention Mechanism’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
jinglinglin이 [arXiv]에 게시한 ‘InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] German4All - A Dataset and Model for Readability-Controlled Paraphrasing in German
Cristian-George Craciun이 [arXiv]에 게시한 ‘German4All - A Dataset and Model for Readability-Controlled Paraphrasing in German’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Explain Before You Answer: A Survey on Compositional Visual Reasoning
Xin Zheng이 [arXiv]에 게시한 ‘Explain Before You Answer: A Survey on Compositional Visual Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
Jiale Zhao이 [arXiv]에 게시한 ‘Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling
Daniil Orel이 [arXiv]에 게시한 ‘Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill & Decode Inference
Di Yin이 [arXiv]에 게시한 ‘TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill & Decode Inference’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Selective Contrastive Learning for Weakly Supervised Affordance Grounding
Jae-Pil Heo이 [arXiv]에 게시한 ‘Selective Contrastive Learning for Weakly Supervised Affordance Grounding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Learnable SMPLify: A Neural Solution for Optimization-Free Human Pose Inverse Kinematics
Xiao Sun이 [arXiv]에 게시한 ‘Learnable SMPLify: A Neural Solution for Optimization-Free Human Pose Inverse Kinematics’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Jailbreaking Commercial Black-Box LLMs with Explicitly Harmful Prompts
Liming Fang이 [arXiv]에 게시한 ‘Jailbreaking Commercial Black-Box LLMs with Explicitly Harmful Prompts’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles
Diping Song이 [arXiv]에 게시한 ‘InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning
Pengcheng Qiu이 [arXiv]에 게시한 ‘End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] EgoTwin: Dreaming Body and View in First Person
Wentao Wang이 [arXiv]에 게시한 ‘EgoTwin: Dreaming Body and View in First Person’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Do What? Teaching Vision-Language-Action Models to Reject the Impossible
Roei Herzig이 [arXiv]에 게시한 ‘Do What? Teaching Vision-Language-Action Models to Reject the Impossible’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CRISP: Persistent Concept Unlearning via Sparse Autoencoders
Yonatan Belinkov이 [arXiv]에 게시한 ‘CRISP: Persistent Concept Unlearning via Sparse Autoencoders’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning
Yulun Zhang이 [arXiv]에 게시한 ‘CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning’ 논문에 대한 자세한 리뷰...
[논문리뷰] Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
Ying Nian Wu이 [arXiv]에 게시한 ‘Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
Liuyi Yao이 [arXiv]에 게시한 ‘AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] AetherCode: Evaluating LLMs’ Ability to Win In Premier Programming Competitions
Yidi Du이 [arXiv]에 게시한 ‘AetherCode: Evaluating LLMs’ Ability to Win In Premier Programming Competitions’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
Heng Zhang이 [arXiv]에 게시한 ‘aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] When and What: Diffusion-Grounded VideoLLM with Entity Aware Segmentation for Long Video Understanding
Rui Guo이 [arXiv]에 게시한 ‘When and What: Diffusion-Grounded VideoLLM with Entity Aware Segmentation for Long Video Understanding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Waver: Wave Your Way to Lifelike Video Generation
Yifu Zhang이 [arXiv]에 게시한 ‘Waver: Wave Your Way to Lifelike Video Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds
Chuiyun Wu이 [arXiv]에 게시한 ‘Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SceneGen: Single-Image 3D Scene Generation in One Feedforward Pass
Ya Zhang이 [arXiv]에 게시한 ‘SceneGen: Single-Image 3D Scene Generation in One Feedforward Pass’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Mobile-Agent-v3: Foundamental Agents for GUI Automation
Haowei Liu이 [arXiv]에 게시한 ‘Mobile-Agent-v3: Foundamental Agents for GUI Automation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries
huuuyeah이 [arXiv]에 게시한 ‘LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Intern-S1: A Scientific Multimodal Foundation Model
xuhuang87이 [arXiv]에 게시한 ‘Intern-S1: A Scientific Multimodal Foundation Model’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] INTIMA: A Benchmark for Human-AI Companionship Behavior
Yacine Jernite이 [arXiv]에 게시한 ‘INTIMA: A Benchmark for Human-AI Companionship Behavior’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Models
Lifan Guo이 [arXiv]에 게시한 ‘Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ‘Does the cafe entrance look accessible? Where is the door?’ Towards Geospatial AI Agents for Visual Inquiries
Xia Su이 [arXiv]에 게시한 ‘Does the cafe entrance look accessible? Where is the door? Towards Geospatial AI Agents for Visual Inquiries’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Deep Think with Confidence
Xuewei Wang이 [arXiv]에 게시한 ‘Deep Think with Confidence’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] A Survey on Large Language Model Benchmarks
Siyi Li이 [arXiv]에 게시한 ‘A Survey on Large Language Model Benchmarks’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling
Shunsuke Saito이 [arXiv]에 게시한 ‘ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] mSCoRe: a Multilingual and Scalable Benchmark for Skill-based Commonsense Reasoning
anoperson이 [arXiv]에 게시한 ‘mSCoRe: a Multilingual and Scalable Benchmark for Skill-based Commonsense Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ViExam: Are Vision Language Models Better than Humans on Vietnamese Multimodal Exam Questions?
Daeyoung Kim이 [arXiv]에 게시한 ‘ViExam: Are Vision Language Models Better than Humans on Vietnamese Multimodal Exam Questions?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Tinker: Diffusion’s Gift to 3D–Multi-View Consistent Editing From Sparse Inputs without Per-Scene Optimization
Hao Chen이 [arXiv]에 게시한 ‘Tinker: Diffusion’s Gift to 3D–Multi-View Consistent Editing From Sparse Inputs without Per-Scene Optimization’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] RynnEC: Bringing MLLMs into Embodied World
jiangpinliu이 [arXiv]에 게시한 ‘RynnEC: Bringing MLLMs into Embodied World’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation
Shiqing Wu이 [arXiv]에 게시한 ‘Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Quantization Meets dLLMs: A Systematic Study of Post-training Quantization for Diffusion LLMs
Haobo Xu이 [arXiv]에 게시한 ‘Quantization Meets dLLMs: A Systematic Study of Post-training Quantization for Diffusion LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting
Guoyin Wang이 [arXiv]에 게시한 ‘On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting’ 논문에 대한...
[논문리뷰] NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
abercovich이 [arXiv]에 게시한 ‘NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds
Jiangmiao이 [arXiv]에 게시한 ‘MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers
Prathyusha Jwalapuram이 [arXiv]에 게시한 ‘MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer
Jeremiah Jiang이 [arXiv]에 게시한 ‘Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Leuvenshtein: Efficient FHE-based Edit Distance Computation with Single Bootstrap per Cell
Ingrid Verbauwhede이 [arXiv]에 게시한 ‘Leuvenshtein: Efficient FHE-based Edit Distance Computation with Single Bootstrap per Cell’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction
tianlecai이 [arXiv]에 게시한 ‘FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] From Scores to Skills: A Cognitive Diagnosis Framework for Evaluating Financial Large Language Models
Ziyan Kuang이 [arXiv]에 게시한 ‘From Scores to Skills: A Cognitive Diagnosis Framework for Evaluating Financial Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery
zijieqiu이 [arXiv]에 게시한 ‘From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] DuPO: Enabling Reliable LLM Self-Verification via Dual Preference Optimization
Yu Lu이 [arXiv]에 게시한 ‘DuPO: Enabling Reliable LLM Self-Verification via Dual Preference Optimization’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Flora D. Salim이 [arXiv]에 게시한 ‘ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer
Deyu Zhou이 [arXiv]에 게시한 ‘Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TempFlow-GRPO: When Timing Matters for GRPO in Flow Models
Jian Yang이 [arXiv]에 게시한 ‘TempFlow-GRPO: When Timing Matters for GRPO in Flow Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Semantic IDs for Joint Generative Search and Recommendation
Enrico Palumbo이 [arXiv]에 게시한 ‘Semantic IDs for Joint Generative Search and Recommendation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Radiance Fields in XR: A Survey on How Radiance Fields are Envisioned and Addressed for XR Research
Susanne Schmidt이 [arXiv]에 게시한 ‘Radiance Fields in XR: A Survey on How Radiance Fields are Envisioned and Addressed for XR Research’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Prompt Orchestration Markup Language
Yuqing Yang이 [arXiv]에 게시한 ‘Prompt Orchestration Markup Language’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OmniTry: Virtual Try-On Anything without Masks
Xiaoduan Feng이 [arXiv]에 게시한 ‘OmniTry: Virtual Try-On Anything without Masks’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MultiRef: Controllable Image Generation with Multiple Visual References
Shiyun Lang이 [arXiv]에 게시한 ‘MultiRef: Controllable Image Generation with Multiple Visual References’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Motion2Motion: Cross-topology Motion Transfer with Sparse Correspondence
Xin Chen이 [arXiv]에 게시한 ‘Motion2Motion: Cross-topology Motion Transfer with Sparse Correspondence’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation
Xinyi Wang이 [arXiv]에 게시한 ‘Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation
Jonas Geiping이 [arXiv]에 게시한 ‘MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Fernando López이 [arXiv]에 게시한 ‘MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Jun Dong이 [arXiv]에 게시한 ‘MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos
Yen-Yu Lin이 [arXiv]에 게시한 ‘LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Leveraging Large Language Models for Predictive Analysis of Human Misery
Abhilash Nandy이 [arXiv]에 게시한 ‘Leveraging Large Language Models for Predictive Analysis of Human Misery’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge
Alice Wang이 [arXiv]에 게시한 ‘Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation
Fei Ni이 [arXiv]에 게시한 ‘Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Mounia Lalmas이 [arXiv]에 게시한 ‘Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CorrSteer: Steering Improves Task Performance and Safety in LLMs through Correlation-based Sparse Autoencoder Feature Selection
Adriano Koshiyama이 [arXiv]에 게시한 ‘CorrSteer: Steering Improves Task Performance and Safety in LLMs through Correlation-based Sparse Autoencoder Feature Select...
[논문리뷰] Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends
Xixiang Zhao이 [arXiv]에 게시한 ‘Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Liam-Liu이 [arXiv]에 게시한 ‘Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CAMAR: Continuous Actions Multi-Agent Routing
Alexey Skrynnik이 [arXiv]에 게시한 ‘CAMAR: Continuous Actions Multi-Agent Routing’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Beyond Human Judgment: A Bayesian Evaluation of LLMs’ Moral Values Understanding
Alina Landowska이 [arXiv]에 게시한 ‘Beyond Human Judgment: A Bayesian Evaluation of LLMs’ Moral Values Understanding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Advances in Speech Separation: Techniques, Challenges, and Future Trends
Zhuo Chen이 [arXiv]에 게시한 ‘Advances in Speech Separation: Techniques, Challenges, and Future Trends’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models
Zishang Jiang이 [arXiv]에 게시한 ‘A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs
Elena Tutubalina이 [arXiv]에 게시한 ‘When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
Jusen Du이 [arXiv]에 게시한 ‘Speed Always Wins: A Survey on Efficient Architectures for Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] S^2-Guidance: Stochastic Self Guidance for Training-Free Enhancement of Diffusion Models
Meiqi Wu이 [arXiv]에 게시한 ‘S^2-Guidance: Stochastic Self Guidance for Training-Free Enhancement of Diffusion Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Representing Speech Through Autoregressive Prediction of Cochlear Tokens
Daniel L. K. Yamins이 [arXiv]에 게시한 ‘Representing Speech Through Autoregressive Prediction of Cochlear Tokens’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Reinforcement Learning with Rubric Anchors
Haokai Xu이 [arXiv]에 게시한 ‘Reinforcement Learning with Rubric Anchors’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Precise Action-to-Video Generation Through Visual Action Prompts
Minghan Qin이 [arXiv]에 게시한 ‘Precise Action-to-Video Generation Through Visual Action Prompts’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Ovis2.5 Technical Report
Yang Li이 [arXiv]에 게시한 ‘Ovis2.5 Technical Report’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Next Visual Granularity Generation
Kang Liao이 [arXiv]에 게시한 ‘Next Visual Granularity Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model
Yifan Zhang이 [arXiv]에 게시한 ‘Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Lumen: Consistent Video Relighting and Harmonious Background Replacement with Video Generative Models
Zixiang Gao이 [arXiv]에 게시한 ‘Lumen: Consistent Video Relighting and Harmonious Background Replacement with Video Generative Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Inverse-LLaVA: Eliminating Alignment Pre-training Through Text-to-Vision Mapping
Tyler Derr이 [arXiv]에 게시한 ‘Inverse-LLaVA: Eliminating Alignment Pre-training Through Text-to-Vision Mapping’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] HeroBench: A Benchmark for Long-Horizon Planning and Structured Reasoning in Virtual Worlds
Artyom Sorokin이 [arXiv]에 게시한 ‘HeroBench: A Benchmark for Long-Horizon Planning and Structured Reasoning in Virtual Worlds’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Has GPT-5 Achieved Spatial Intelligence? An Empirical Study
Ruisi Wang이 [arXiv]에 게시한 ‘Has GPT-5 Achieved Spatial Intelligence? An Empirical Study’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] G-CUT3R: Guided 3D Reconstruction with Camera and Depth Prior Integration
Evgeny Burnaev이 [arXiv]에 게시한 ‘G-CUT3R: Guided 3D Reconstruction with Camera and Depth Prior Integration’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning
Yufeng Wang이 [arXiv]에 게시한 ‘ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Beyond Solving Math Quiz: Evaluating the Ability of Large Reasoning Models to Ask for Information
Xi Yang이 [arXiv]에 게시한 ‘Beyond Solving Math Quiz: Evaluating the Ability of Large Reasoning Models to Ask for Information’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] 4DNeX: Feed-Forward 4D Generative Modeling Made Easy
Zeng Tao이 [arXiv]에 게시한 ‘4DNeX: Feed-Forward 4D Generative Modeling Made Easy’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] X-Node: Self-Explanation is All We Need
Islem Rekik이 [arXiv]에 게시한 ‘X-Node: Self-Explanation is All We Need’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Thyme: Think Beyond Images
Wei Chen이 [arXiv]에 게시한 ‘Thyme: Think Beyond Images’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TexVerse: A Universe of 3D Objects with High-Resolution Textures
Nan Cao이 [arXiv]에 게시한 ‘TexVerse: A Universe of 3D Objects with High-Resolution Textures’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] StyleMM: Stylized 3D Morphable Face Model via Text-Driven Aligned Image Translation
Junyong Noh이 [arXiv]에 게시한 ‘StyleMM: Stylized 3D Morphable Face Model via Text-Driven Aligned Image Translation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SSRL: Self-Search Reinforcement Learning
Yanxu Chen이 [arXiv]에 게시한 ‘SSRL: Self-Search Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation
Paolo Soda이 [arXiv]에 게시한 ‘SPARSE Data, Rich Results: Few-Shot Semi-Supervised Learning via Class-Conditioned Image Translation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexing
Xianpei Han이 [arXiv]에 게시한 ‘PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexing’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data
Nicolas Gonthier이 [arXiv]에 게시한 ‘MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] FantasyTalking2: Timestep-Layer Adaptive Preference Optimization for Audio-Driven Portrait Animation
Mu Xu이 [arXiv]에 게시한 ‘FantasyTalking2: Timestep-Layer Adaptive Preference Optimization for Audio-Driven Portrait Animation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] DINOv3
Maxime Oquab이 [arXiv]에 게시한 ‘DINOv3’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Controlling Multimodal LLMs via Reward-guided Decoding
Michal Drozdzal이 [arXiv]에 게시한 ‘Controlling Multimodal LLMs via Reward-guided Decoding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning
Xiaowan Wang이 [arXiv]에 게시한 ‘We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] UI-Venus Technical Report: Building High-performance UI Agents with RFT
Shuheng Shen이 [arXiv]에 게시한 ‘UI-Venus Technical Report: Building High-performance UI Agents with RFT’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing
Xiaoyu Li이 [arXiv]에 게시한 ‘ToonComposer: Streamlining Cartoon Production with Generative Post-Keyframing’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer
Honghua Chen이 [arXiv]에 게시한 ‘STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Processing and acquisition traces in visual encoders: What does CLIP know about your camera?
Giorgos Tolias이 [arXiv]에 게시한 ‘Processing and acquisition traces in visual encoders: What does CLIP know about your camera?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models
Qinghao Ye이 [arXiv]에 게시한 ‘Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts
Rui Lu이 [arXiv]에 게시한 ‘PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale
Quan Sun이 [arXiv]에 게시한 ‘NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] HumanSense: From Multimodal Perception to Empathetic Context-Aware Responses through Reasoning MLLMs
Yi Yuan이 [arXiv]에 게시한 ‘HumanSense: From Multimodal Perception to Empathetic Context-Aware Responses through Reasoning MLLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms
Ziyin Zhang이 [arXiv]에 게시한 ‘From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms’ 논문에 대한 자세한 ...
[논문리뷰] A Survey on Diffusion Language Models
Zhiqiang Shen이 [arXiv]에 게시한 ‘A Survey on Diffusion Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language Processing
Gjergji Kasneci이 [arXiv]에 게시한 ‘When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in...
[논문리뷰] VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
Dongdong Zhang이 [arXiv]에 게시한 ‘VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Story2Board: A Training-Free Approach for Expressive Storyboard Generation
Dani Lischinski이 [arXiv]에 게시한 ‘Story2Board: A Training-Free Approach for Expressive Storyboard Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Stand-In: A Lightweight and Plug-and-Play Identity Control for Video Generation
Chen Li이 [arXiv]에 게시한 ‘Stand-In: A Lightweight and Plug-and-Play Identity Control for Video Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory
Yuan Lin이 [arXiv]에 게시한 ‘Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models
Zeynep Akata이 [arXiv]에 게시한 ‘Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery
Di Zhang이 [arXiv]에 게시한 ‘Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MathReal: We Keep It Real! A Real Scene Benchmark for Evaluating Math Reasoning in Multimodal Large Language Models
Zhihan Zhou이 [arXiv]에 게시한 ‘MathReal: We Keep It Real! A Real Scene Benchmark for Evaluating Math Reasoning in Multimodal Large Language Models’ 논문에 대한 자세한 리뷰...
[논문리뷰] Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment
Lei Fan이 [arXiv]에 게시한 ‘Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] IAG: Input-aware Backdoor Attack on VLMs for Visual Grounding
Di Zhang이 [arXiv]에 게시한 ‘IAG: Input-aware Backdoor Attack on VLMs for Visual Grounding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors
Qingnan Fan이 [arXiv]에 게시한 ‘GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation
Zhenghao Hu이 [arXiv]에 게시한 ‘Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
Hao Zhang이 [arXiv]에 게시한 ‘Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models
Guiyang Hou이 [arXiv]에 게시한 ‘Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study
Gjergji Kasneci이 [arXiv]에 게시한 ‘Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] AWorld: Dynamic Multi-Agent System with Stable Maneuvering for Robust GAIA Problem Solving
Jinjie Gu이 [arXiv]에 게시한 ‘AWorld: Dynamic Multi-Agent System with Stable Maneuvering for Robust GAIA Problem Solving’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] AMFT: Aligning LLM Reasoners by Meta-Learning the Optimal Imitation-Exploration Balance
Yong Li이 [arXiv]에 게시한 ‘AMFT: Aligning LLM Reasoners by Meta-Learning the Optimal Imitation-Exploration Balance’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] WGAST: Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion
Rachid Nedjai이 [arXiv]에 게시한 ‘WGAST: Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion’ 논문에 대...
[논문리뷰] VertexRegen: Mesh Generation with Continuous Level of Detail
Jakob Engel이 [arXiv]에 게시한 ‘VertexRegen: Mesh Generation with Continuous Level of Detail’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] UNCAGE: Contrastive Attention Guidance for Masked Generative Transformers in Text-to-Image Generation
Kevin Galim이 [arXiv]에 게시한 ‘UNCAGE: Contrastive Attention Guidance for Masked Generative Transformers in Text-to-Image Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Train Long, Think Short: Curriculum Learning for Efficient Reasoning
Marzyeh Ghassemi이 [arXiv]에 게시한 ‘Train Long, Think Short: Curriculum Learning for Efficient Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors
Haoran Xu이 [arXiv]에 게시한 ‘Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation
Rachel Bawden이 [arXiv]에 게시한 ‘TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models
Chenchen Jing이 [arXiv]에 게시한 ‘Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Test-Time Reinforcement Learning for GUI Grounding via Region Consistency
Zhengxi Lu이 [arXiv]에 게시한 ‘Test-Time Reinforcement Learning for GUI Grounding via Region Consistency’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OpenCUA: Open Foundations for Computer-Use Agents
Tianbao Xie이 [arXiv]에 게시한 ‘OpenCUA: Open Foundations for Computer-Use Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] NVSpeech: An Integrated and Scalable Pipeline for Human-Like Speech Modeling with Paralinguistic Vocalizations
Haoyue Zhan이 [arXiv]에 게시한 ‘NVSpeech: An Integrated and Scalable Pipeline for Human-Like Speech Modeling with Paralinguistic Vocalizations’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Matrix-3D: Omnidirectional Explorable 3D World Generation
Yuqi Li이 [arXiv]에 게시한 ‘Matrix-3D: Omnidirectional Explorable 3D World Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches
Qiang Ju이 [arXiv]에 게시한 ‘HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay
Yang Fan이 [arXiv]에 게시한 ‘GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments
Xuesong Yao이 [arXiv]에 게시한 ‘Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Democratizing Diplomacy: A Harness for Evaluating Any Large Language Model on Full-Press Diplomacy
Elizabeth Karpinski이 [arXiv]에 게시한 ‘Democratizing Diplomacy: A Harness for Evaluating Any Large Language Model on Full-Press Diplomacy’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] DeCRED: Decoder-Centric Regularization for Encoder-Decoder Based Speech Recognition
Lukáš Burget이 [arXiv]에 게시한 ‘DeCRED: Decoder-Centric Regularization for Encoder-Decoder Based Speech Recognition’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Cut2Next: Generating Next Shot via In-Context Tuning
Yu Qiao이 [arXiv]에 게시한 ‘Cut2Next: Generating Next Shot via In-Context Tuning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CharacterShot: Controllable and Consistent 4D Character Animation
Fei Shen이 [arXiv]에 게시한 ‘CharacterShot: Controllable and Consistent 4D Character Animation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Bridging Theory and Practice in Quantum Game Theory: Optimized Implementation of the Battle of the Sexes with Error Mitigation on NISQ Hardware
Jhon Alejandro Andrade이 [arXiv]에 게시한 ‘Bridging Theory and Practice in Quantum Game Theory: Optimized Implementation of the Battle of the Sexes with Error Mit...
[논문리뷰] BiasGym: Fantastic Biases and How to Find (and Remove) Them
Arnav Arora이 [arXiv]에 게시한 ‘BiasGym: Fantastic Biases and How to Find (and Remove) Them’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL
Chuyi He이 [arXiv]에 게시한 ‘Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators
Tao Zhang이 [arXiv]에 게시한 ‘AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Aryabhata: An exam-focused language model for JEE Math
Sandeep Varma이 [arXiv]에 게시한 ‘Aryabhata: An exam-focused language model for JEE Math’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Adversarial Video Promotion Against Text-to-Video Retrieval
Shuai Liu이 [arXiv]에 게시한 ‘Adversarial Video Promotion Against Text-to-Video Retrieval’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] WideSearch: Benchmarking Agentic Broad Info-Seeking
Yan Gao이 [arXiv]에 게시한 ‘WideSearch: Benchmarking Agentic Broad Info-Seeking’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] When Good Sounds Go Adversarial: Jailbreaking Audio-Language Models with Benign Inputs
Dasol Choi이 [arXiv]에 게시한 ‘When Good Sounds Go Adversarial: Jailbreaking Audio-Language Models with Benign Inputs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding
Tong Yu이 [arXiv]에 게시한 ‘VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] UserBench: An Interactive Gym Environment for User-Centric Agents
Jianguo Zhang이 [arXiv]에 게시한 ‘UserBench: An Interactive Gym Environment for User-Centric Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future
Qiufeng Wang이 [arXiv]에 게시한 ‘Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences
Matvey Skripkin이 [arXiv]에 게시한 ‘Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation
Hengtao Shen이 [arXiv]에 게시한 ‘Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Reinforcement Learning in Vision: A Survey
Qingwei Meng이 [arXiv]에 게시한 ‘Reinforcement Learning in Vision: A Survey’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability
Yuchen Li이 [arXiv]에 게시한 ‘ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning
Jiaheng Liu이 [arXiv]에 게시한 ‘Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OmniEAR: Benchmarking Agent Reasoning in Embodied Tasks
Hongxing Li이 [arXiv]에 게시한 ‘OmniEAR: Benchmarking Agent Reasoning in Embodied Tasks’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation
Xiaokun Feng이 [arXiv]에 게시한 ‘Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MolmoAct: Action Reasoning Models that can Reason in Space
Shuo Liu이 [arXiv]에 게시한 ‘MolmoAct: Action Reasoning Models that can Reason in Space’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs
Jianguo Li이 [arXiv]에 게시한 ‘MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning
Baihong Yuan이 [arXiv]에 게시한 ‘Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization
Guanting Dong이 [arXiv]에 게시한 ‘Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts
Tieyuan Chen이 [arXiv]에 게시한 ‘Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] GLiClass: Generalist Lightweight Model for Sequence Classification Tasks
Alexander Yavorskyi이 [arXiv]에 게시한 ‘GLiClass: Generalist Lightweight Model for Sequence Classification Tasks’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control
Hongyu Liu이 [arXiv]에 게시한 ‘Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking System
Reynold Cheng이 [arXiv]에 게시한 ‘Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking System’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
Robert Kirk이 [arXiv]에 게시한 ‘Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Compressing Chain-of-Thought in LLMs via Step Entropy
Zhijian Xu이 [arXiv]에 게시한 ‘Compressing Chain-of-Thought in LLMs via Step Entropy’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent
Kai Zou이 [arXiv]에 게시한 ‘BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
Mohit Bansal이 [arXiv]에 게시한 ‘Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Xinhao Yi이 [arXiv]에 게시한 ‘A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems’ 논문에 대한 자세...
[논문리뷰] Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
jgkwak이 [arXiv]에 게시한 ‘Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding
Bingqi Chen이 [arXiv]에 게시한 ‘UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal
Chengcheng Wan이 [arXiv]에 게시한 ‘Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh
Yi Yang이 [arXiv]에 게시한 ‘MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Memp: Exploring Agent Procedural Memory
Shuofei Qiao이 [arXiv]에 게시한 ‘Memp: Exploring Agent Procedural Memory’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MELLA: Bridging Linguistic Capability and Cultural Groundedness for Low-Resource Language MLLMs
Guohang Yan이 [arXiv]에 게시한 ‘MELLA: Bridging Linguistic Capability and Cultural Groundedness for Low-Resource Language MLLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LightSwitch: Multi-view Relighting with Material-guided Diffusion
Shubham Tulsiani이 [arXiv]에 게시한 ‘LightSwitch: Multi-view Relighting with Material-guided Diffusion’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization
Pengxiang Li이 [arXiv]에 게시한 ‘InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
GLM-4. 5 Team이 [arXiv]에 게시한 ‘GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] GENIE: Gaussian Encoding for Neural Radiance Fields Interactive Editing
Przemysław Spurek이 [arXiv]에 게시한 ‘GENIE: Gaussian Encoding for Neural Radiance Fields Interactive Editing’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Adapting Vision-Language Models Without Labels: A Comprehensive Survey
Eleni Chatzi이 [arXiv]에 게시한 ‘Adapting Vision-Language Models Without Labels: A Comprehensive Survey’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Visual Document Understanding and Question Answering: A Multi-Agent Collaboration Framework with Test-Time Scaling
Ruolin Shen이 [arXiv]에 게시한 ‘Visual Document Understanding and Question Answering: A Multi-Agent Collaboration Framework with Test-Time Scaling’ 논문에 대한 자세한 리뷰입...
[논문리뷰] StrandDesigner: Towards Practical Strand Generation with Sketch Guidance
Xiaobin Hu이 [arXiv]에 게시한 ‘StrandDesigner: Towards Practical Strand Generation with Sketch Guidance’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Steering One-Step Diffusion Model with Fidelity-Rich Decoder for Fast Image Compression
Yifei Ji이 [arXiv]에 게시한 ‘Steering One-Step Diffusion Model with Fidelity-Rich Decoder for Fast Image Compression’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] RPCANet++: Deep Interpretable Robust PCA for Sparse Object Segmentation
Jian Yang이 [arXiv]에 게시한 ‘RPCANet++: Deep Interpretable Robust PCA for Sparse Object Segmentation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] REINA: Regularized Entropy Information-Based Loss for Efficient Simultaneous Speech Translation
Xiao Yu이 [arXiv]에 게시한 ‘REINA: Regularized Entropy Information-Based Loss for Efficient Simultaneous Speech Translation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] R-Zero: Self-Evolving Reasoning LLM from Zero Data
Zongxia Li이 [arXiv]에 게시한 ‘R-Zero: Self-Evolving Reasoning LLM from Zero Data’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction
Prajit Das이 [arXiv]에 게시한 ‘PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
Xinyu Ye이 [arXiv]에 게시한 ‘On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Marco-Voice Technical Report
Qingjuan Li이 [arXiv]에 게시한 ‘Marco-Voice Technical Report’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] MOSEv2: A More Challenging Dataset for Video Object Segmentation in Complex Scenes
Xudong Jiang이 [arXiv]에 게시한 ‘MOSEv2: A More Challenging Dataset for Video Object Segmentation in Complex Scenes’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] InfiAlign: A Scalable and Sample-Efficient Framework for Aligning LLMs to Enhance Reasoning Capabilities
Zhijie Sang이 [arXiv]에 게시한 ‘InfiAlign: A Scalable and Sample-Efficient Framework for Aligning LLMs to Enhance Reasoning Capabilities’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] I Think, Therefore I Am Under-Qualified? A Benchmark for Evaluating Linguistic Shibboleth Detection in LLM Hiring Evaluations
Chirag Shah이 [arXiv]에 게시한 ‘I Think, Therefore I Am Under-Qualified? A Benchmark for Evaluating Linguistic Shibboleth Detection in LLM Hiring Evaluations’ 논문에...
[논문리뷰] I2CR: Intra- and Inter-modal Collaborative Reflections for Multimodal Entity Linking
Chao Wang이 [arXiv]에 게시한 ‘I2CR: Intra- and Inter-modal Collaborative Reflections for Multimodal Entity Linking’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis
Reshmi Ghosh이 [arXiv]에 게시한 ‘Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity
Zhibing Li이 [arXiv]에 게시한 ‘Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation
Shengcong Chen이 [arXiv]에 게시한 ‘Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Evaluating, Synthesizing, and Enhancing for Customer Support Conversation
Feng Chen이 [arXiv]에 게시한 ‘Evaluating, Synthesizing, and Enhancing for Customer Support Conversation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Don’t Overthink It: A Survey of Efficient R1-style Large Reasoning Models
Fangzhou Yao이 [arXiv]에 게시한 ‘Don’t Overthink It: A Survey of Efficient R1-style Large Reasoning Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning
Ziming Wang이 [arXiv]에 게시한 ‘DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CoAct-1: Computer-using Agents with Coding as Actions
Taiwei Shi이 [arXiv]에 게시한 ‘CoAct-1: Computer-using Agents with Coding as Actions’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability
Yuan Wu이 [arXiv]에 게시한 ‘Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability’ 논문에 대...
[논문리뷰] Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?
Junjie Yang이 [arXiv]에 게시한 ‘Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Are Today’s LLMs Ready to Explain Well-Being Concepts?
Huan Liu이 [arXiv]에 게시한 ‘Are Today’s LLMs Ready to Explain Well-Being Concepts?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Web-CogReasoner: Towards Knowledge-Induced Cognitive Reasoning for Web Agents
Xinyu Yang이 [arXiv]에 게시한 ‘Web-CogReasoner: Towards Knowledge-Induced Cognitive Reasoning for Web Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning
Maksim Nekrashevich이 [arXiv]에 게시한 ‘Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models
Elisabetta Rocchetti이 [arXiv]에 게시한 ‘The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Sotopia-RL: Reward Design for Social Intelligence
Keyang Xuan이 [arXiv]에 게시한 ‘Sotopia-RL: Reward Design for Social Intelligence’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering
Ambuj Mehrish이 [arXiv]에 게시한 ‘SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Sel3DCraft: Interactive Visual Prompts for User-Friendly Text-to-3D Generation
Hao Huang이 [arXiv]에 게시한 ‘Sel3DCraft: Interactive Visual Prompts for User-Friendly Text-to-3D Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Sculptor: Empowering LLMs with Cognitive Agency via Active Context Management
Yunxin Liu이 [arXiv]에 게시한 ‘Sculptor: Empowering LLMs with Cognitive Agency via Active Context Management’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience
Xiaoyi Dong이 [arXiv]에 게시한 ‘SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks
Haozhe Zhang이 [arXiv]에 게시한 ‘Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
Kechi Zhang이 [arXiv]에 게시한 ‘RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization’ 논문에 대한 자세한 리뷰입...
[논문리뷰] Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI Conference
Jiaying Wu이 [arXiv]에 게시한 ‘Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI Conference’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] OpenMed NER: Open-Source, Domain-Adapted State-of-the-Art Transformers for Biomedical NER Across 12 Public Datasets
MaziyarPanahi이 [arXiv]에 게시한 ‘OpenMed NER: Open-Source, Domain-Adapted State-of-the-Art Transformers for Biomedical NER Across 12 Public Datasets’ 논문에 대한 자세한 ...
[논문리뷰] MiDashengLM: Efficient Audio Understanding with General Audio Captions
Yadong Niu이 [arXiv]에 게시한 ‘MiDashengLM: Efficient Audio Understanding with General Audio Captions’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following
Liang Xu이 [arXiv]에 게시한 ‘Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LeanK: Learnable K Cache Channel Pruning for Efficient Decoding
Yuqing Yang이 [arXiv]에 게시한 ‘LeanK: Learnable K Cache Channel Pruning for Efficient Decoding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LaTCoder: Converting Webpage Design to Code with Layout-as-Thought
Tianpeng Lv이 [arXiv]에 게시한 ‘LaTCoder: Converting Webpage Design to Code with Layout-as-Thought’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Zhen Tan이 [arXiv]에 게시한 ‘Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] IFDECORATOR: Wrapping Instruction Following Reinforcement Learning with Verifiable Rewards
Ling-I Wu이 [arXiv]에 게시한 ‘IFDECORATOR: Wrapping Instruction Following Reinforcement Learning with Verifiable Rewards’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] IAUNet: Instance-Aware U-Net
Dmytro Fishman이 [arXiv]에 게시한 ‘IAUNet: Instance-Aware U-Net’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] HPSv3: Towards Wide-Spectrum Human Preference Score
Hongsheng Li이 [arXiv]에 게시한 ‘HPSv3: Towards Wide-Spectrum Human Preference Score’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis
Feng Zhao이 [arXiv]에 게시한 ‘Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success
Ruslan Rakhimov이 [arXiv]에 게시한 ‘Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success’ 논문에 대한 자세한 리뷰...
[논문리뷰] Efficient Agents: Building Effective Agents While Reducing Cost
Yue Hou이 [arXiv]에 게시한 ‘Efficient Agents: Building Effective Agents While Reducing Cost’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] EVOC2RUST: A Skeleton-guided Framework for Project-Level C-to-Rust Translation
Dong Chen이 [arXiv]에 게시한 ‘EVOC2RUST: A Skeleton-guided Framework for Project-Level C-to-Rust Translation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] DreamVVT: Mastering Realistic Video Virtual Try-On in the Wild via a Stage-Wise Diffusion Transformer Framework
Chao Liang이 [arXiv]에 게시한 ‘DreamVVT: Mastering Realistic Video Virtual Try-On in the Wild via a Stage-Wise Diffusion Transformer Framework’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CoTox: Chain-of-Thought-Based Molecular Toxicity Reasoning and Prediction
Donghyeon Lee이 [arXiv]에 게시한 ‘CoTox: Chain-of-Thought-Based Molecular Toxicity Reasoning and Prediction’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor
Jinbao Wang이 [arXiv]에 게시한 ‘C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Zilong Wang이 [arXiv]에 게시한 ‘Agent Lightning: Train ANY AI Agents with Reinforcement Learning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] A Coarse-to-Fine Approach to Multi-Modality 3D Occupancy Grounding
Jianke Zhu이 [arXiv]에 게시한 ‘A Coarse-to-Fine Approach to Multi-Modality 3D Occupancy Grounding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Tool-integrated Reinforcement Learning for Repo Deep Search
Yanzhen Zou이 [arXiv]에 게시한 ‘Tool-integrated Reinforcement Learning for Repo Deep Search’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TRACEALIGN – Tracing the Drift: Attributing Alignment Failures to Training-Time Belief Sources in LLMs
Aman Chadha이 [arXiv]에 게시한 ‘TRACEALIGN – Tracing the Drift: Attributing Alignment Failures to Training-Time Belief Sources in LLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation
Tianyidan Xie이 [arXiv]에 게시한 ‘Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Fan Xia이 [arXiv]에 게시한 ‘Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Multi-human Interactive Talking Dataset
Mike Zheng Shou이 [arXiv]에 게시한 ‘Multi-human Interactive Talking Dataset’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation
Chenyang Si이 [arXiv]에 게시한 ‘LongVie: Multimodal-Guided Controllable Ultra-Long Video Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?
Yaojie Lu이 [arXiv]에 게시한 ‘LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] LAMIC: Layout-Aware Multi-Image Composition via Scalability of Multimodal Diffusion Transformer
Shunyu Yao이 [arXiv]에 게시한 ‘LAMIC: Layout-Aware Multi-Image Composition via Scalability of Multimodal Diffusion Transformer’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction
Jui-Hui Chung이 [arXiv]에 게시한 ‘Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
Songyang Gao이 [arXiv]에 게시한 ‘CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] ChartCap: Mitigating Hallucination of Dense Chart Captioning
Gunhee Kim이 [arXiv]에 게시한 ‘ChartCap: Mitigating Hallucination of Dense Chart Captioning’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
Jiwei Li이 [arXiv]에 게시한 ‘CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] AlignGuard-LoRA: Alignment-Preserving Fine-Tuning via Fisher-Guided Decomposition and Riemannian-Geodesic Collision Regularization
Aman Chadha이 [arXiv]에 게시한 ‘AlignGuard-LoRA: Alignment-Preserving Fine-Tuning via Fisher-Guided Decomposition and Riemannian-Geodesic Collision Regularization...
[논문리뷰] VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
Bin Jia이 [arXiv]에 게시한 ‘VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension
Liyan Xu이 [arXiv]에 게시한 ‘SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Lifelong Learning in Physical Embodied Systems
Junkun Hong이 [arXiv]에 게시한 ‘RoboMemory: A Brain-inspired Multi-memory Agentic Framework for Lifelong Learning in Physical Embodied Systems’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Qwen-Image Technical Report
Kaiyuan Gao이 [arXiv]에 게시한 ‘Qwen-Image Technical Report’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Personalized Safety Alignment for Text-to-Image Diffusion Models
Kaidong Yu이 [arXiv]에 게시한 ‘Personalized Safety Alignment for Text-to-Image Diffusion Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report
Anu Vellore이 [arXiv]에 게시한 ‘Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation
Yang Tian이 [arXiv]에 게시한 ‘InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Exploitation Is All You Need… for Exploration
Jesse Roberts이 [arXiv]에 게시한 ‘Exploitation Is All You Need… for Exploration’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Cyber-Zero: Training Cybersecurity Agents without Runtime
Zijian Wang이 [arXiv]에 게시한 ‘Cyber-Zero: Training Cybersecurity Agents without Runtime’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] CellForge: Agentic Design of Virtual Cell Models
Daniel Shao이 [arXiv]에 게시한 ‘CellForge: Agentic Design of Virtual Cell Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models’ Instruction Following
Jiaqing Liang이 [arXiv]에 게시한 ‘Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models’ Instruction Following’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
Zhiwei Zhang이 [arXiv]에 게시한 ‘AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models
Zuxuan Wu이 [arXiv]에 게시한 ‘A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SpA2V: Harnessing Spatial Auditory Cues for Audio-driven Spatially-aware Video Generation
Long Chen이 [arXiv]에 게시한 ‘SpA2V: Harnessing Spatial Auditory Cues for Audio-driven Spatially-aware Video Generation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SWE-Exp: Experience-Driven Software Issue Resolution
Heng Lian이 [arXiv]에 게시한 ‘SWE-Exp: Experience-Driven Software Issue Resolution’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution
Heng Lian이 [arXiv]에 게시한 ‘SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] PixNerd: Pixel Neural Field Diffusion
Limin Wang이 [arXiv]에 게시한 ‘PixNerd: Pixel Neural Field Diffusion’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Multimodal Referring Segmentation: A Survey
Zuxuan Wu이 [arXiv]에 게시한 ‘Multimodal Referring Segmentation: A Survey’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple Judges
Chengfei Lv이 [arXiv]에 게시한 ‘Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple Judges’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Investigating Hallucination in Conversations for Low Resource Languages
Fatemeh Jamshidi이 [arXiv]에 게시한 ‘Investigating Hallucination in Conversations for Low Resource Languages’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] IGL-Nav: Incremental 3D Gaussian Localization for Image-goal Navigation
Jianjiang Feng이 [arXiv]에 게시한 ‘IGL-Nav: Incremental 3D Gaussian Localization for Image-goal Navigation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Beyond Fixed: Variable-Length Denoising for Diffusion Large Language Models
Jiaqi Wang이 [arXiv]에 게시한 ‘Beyond Fixed: Variable-Length Denoising for Diffusion Large Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] 3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding
Hao Tang이 [arXiv]에 게시한 ‘3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
Kaixin Wang이 [arXiv]에 게시한 ‘villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] iLRM: An Iterative Large 3D Reconstruction Model
Abdelrahman Mohamed이 [arXiv]에 게시한 ‘iLRM: An Iterative Large 3D Reconstruction Model’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] TARS: MinMax Token-Adaptive Preference Strategy for Hallucination Reduction in MLLMs
Jiasheng Tang이 [arXiv]에 게시한 ‘TARS: MinMax Token-Adaptive Preference Strategy for Hallucination Reduction in MLLMs’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving
Zhicheng Jiang이 [arXiv]에 게시한 ‘Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents
Anji Liu이 [arXiv]에 게시한 ‘Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] RecGPT Technical Report
Jian Wu이 [arXiv]에 게시한 ‘RecGPT Technical Report’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Phi-Ground Tech Report: Advancing Perception in GUI Grounding
Kai Qiu이 [arXiv]에 게시한 ‘Phi-Ground Tech Report: Advancing Perception in GUI Grounding’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Persona Vectors: Monitoring and Controlling Character Traits in Language Models
Jack Lindsey이 [arXiv]에 게시한 ‘Persona Vectors: Monitoring and Controlling Character Traits in Language Models’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] On the Expressiveness of Softmax Attention: A Recurrent Neural Network Perspective
Eric C. Larson이 [arXiv]에 게시한 ‘On the Expressiveness of Softmax Attention: A Recurrent Neural Network Perspective’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] NeRF Is a Valuable Assistant for 3D Gaussian Splatting
ZeSheng Wang이 [arXiv]에 게시한 ‘NeRF Is a Valuable Assistant for 3D Gaussian Splatting’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Flow Equivariant Recurrent Neural Networks
T. Anderson Keller이 [arXiv]에 게시한 ‘Flow Equivariant Recurrent Neural Networks’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Enhanced Arabic Text Retrieval with Attentive Relevance Scoring
Abdenour Hadid이 [arXiv]에 게시한 ‘Enhanced Arabic Text Retrieval with Attentive Relevance Scoring’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Efficient Machine Unlearning via Influence Approximation
Enhong Chen이 [arXiv]에 게시한 ‘Efficient Machine Unlearning via Influence Approximation’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] C3: A Bilingual Benchmark for Spoken Dialogue Models Exploring Challenges in Complex Conversations
Yiwen Guo이 [arXiv]에 게시한 ‘C3: A Bilingual Benchmark for Spoken Dialogue Models Exploring Challenges in Complex Conversations’ 논문에 대한 자세한 리뷰입니다.
[논문리뷰] Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification
Abdelmalik Taleb-Ahmed이 [arXiv]에 게시한 ‘Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification’ 논문에 대한 ...
[논문리뷰] AgroBench: Vision-Language Model Benchmark in Agriculture
Yoshitaka Ushiku이 [arXiv]에 게시한 ‘AgroBench: Vision-Language Model Benchmark in Agriculture’ 논문에 대한 자세한 리뷰입니다.