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Yao-Jie Zhang

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#artificial intelligence Preprint Oct 2026

From Visual Affinity to Learning Credit in Multimodal Reinforcement Learning

Reinforcement learning with verifiable rewards (RLVR) improves multimodal reasoning, but uniformly assigning a single response-level advantage to all tokens overlooks the distinct roles of visual observations and subsequent reasoning. Visual affinity alone is insufficient: predictive states may align with both image an...

Yu-Hang Han, Ding-Ning Liu, Yu-Jie Chen et al. · 0 citations

#natural language process... Preprint Sep 2026

DFlow: Enabling Verifier Information Flow in Block Diffusion Speculative Decoding

Block diffusion speculative decoding improves LLM inference efficiency by proposing a block of future tokens in parallel and verifying them with a single forward pass through the target model. However, existing methods retain only the accepted prefix and discard the rejected suffix, preventing the computation spent on...

Yao-Jie Zhang, Lin-Feng Zhang, Bin Cui et al. · 3 citations