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arXiv paper proposes RL method that makes LLMs persist on hard problems

117 points · 9 comments#arxiv#reinforcement-learning#llm#problem-solving

A new arXiv paper (2609.13443) introduces a reinforcement learning approach for large language models that improves performance on difficult problems by training the model to persist rather than give up. The method targets hard-problem solving in LLMs, as reported on Hacker News.

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  1. Hacker Newsnatolambert
    Learning to solve hard problems in RL for LLMs by never giving upHN

    https://arxiv.org/abs/2609.13443

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