most citedSCOPE-RL: Stable and Quantitative Control of Policy Entropy in RL Post-Training

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cs.CV2026

CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition

Lai Wei, Chengqi Li, Jiapeng Li +3

Real-world tasks often require models to learn from task-specific context rather than relying only on pre-trained knowledge. While recent work has highlighted this capability as co…

cs.CV2026

Attend to Evidence: Evidence-Anchored Spatial Attention Supervision for Multimodal RLVR

Ruina Hu, Chen Wang, Lai Wei +5

Reinforcement learning with verifiable rewards (RLVR) improves vision-language models (VLMs) by optimizing outcome rewards derived from final answers. However, such outcome-only re…