[논문리뷰] ΔL Normalization: Rethink Loss Aggregation in RLVR
Lili Qiu이 [arXiv]에 게시한 ‘ΔL Normalization: Rethink Loss Aggregation in RLVR’ 논문에 대한 자세한 리뷰입니다.
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[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.