Author

Ye Yuan

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#reinforcement learning Book Open access Nov 2026

POLAR: Policy Optimization through Larger Reasoners

Reinforcement learning with verifiable rewards (RLVR) is a practical way to improve the reasoning and decision-making abilities of large language models, but its training signal is often sparse. When a policy faces prompts beyond its current ability, every sampled trajectory in a group may fail the verifier, resulting...

Ye Yuan, Zhi-Ping Xiao, Ming Zhang · Proceedings of the 35th ACM... · 0 citations

#natural language process... Preprint Oct 2026

Label Collapse in Diffusion Language Model In-Context Learning

A systematic evaluation of ICL failure modes is presented, complementing contemporaneous studies of dLLM context comprehension and demonstration-order sensitivity, and open questions about how iterative denoising interacts with label biases are identified.

Zi-Ye Guo, Ye Yuan · 0 citations