long-sequence-reasoning

This paper proposes E³RL, a reinforcement learning method that uses dynamic epistemic entropy thresholds to enable LLMs to excise local logical defects during generation, overcoming the autoregressive curse in long-horizon reasoning and achieving state-of-the-art results on mathematical reasoning benchmarks like AIME.