Author

Yi-Fu Guo

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Book Open access Aug 2026

ANCHOR: Taming Entropy Dynamics for Stable and Efficient Reasoning of Large Language Models

It is shown that policy entropy bounds both the policy gradient and probability update norms; consequently, entropy collapse effectively stops reward signal backpropagation, preventing further policy learning regardless of data quality.

Cong Qin, Jiaye Lin, Xiaoliang Fu et al. · Proceedings of the 32nd ACM... · 0 citations

Book Open access Aug 2026

ANCHOR: Taming Entropy Dynamics for Stable and Efficient Reasoning of Large Language Models

Reinforcement Learning with Verifiable Rewards (RLVR) has become a standard approach for improving complex reasoning in Large Language Models (LLMs). However, entropy collapse remains a critical bottleneck, often leading to performance degradation. While typically attributed to reduced exploration, we identify a more s...

Cong Qin, Jiaye Lin, Xiaoliang Fu et al. · Proceedings of the 32nd ACM... · 0 citations