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cs.AI2026
Learning to Reason with Selective Internal Feedback
Xun Lu, Shumeng Yang, Xinrui Wang +3
Reinforcement learning from internal feedback can improve language models without ground-truth answers or external verifiers. However, confidence and correctness can diverge during…
cs.AI2026
PAEC: Position-Aware Entropy Calibration for LLM Reasoning in RLVR
Shumeng Yang, Yisu Liu, Jiayi Zheng +2
Reinforcement learning with verifiable rewards (RLVR) improves large language model reasoning but often suffers from rapid policy-entropy collapse, where the policy prematurely con…