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cs.AI2026
A Step Back: Prefix Importance Ratio Stabilizes Policy Optimization
Shiye Lei, Zhihao Cheng, Dacheng Tao
Reinforcement learning (RL) post-training has increasingly demonstrated strong ability to elicit reasoning behaviors in large language models (LLMs). For training efficiency, rollo…
cs.AI2025★ 1 cited
Revisiting LLM Reasoning via Information Bottleneck
Shiye Lei, Zhihao Cheng, Kai Jia +1
Large language models (LLMs) have recently demonstrated remarkable progress in reasoning capabilities through reinforcement learning with verifiable rewards (RLVR). By leveraging s…