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Primary-source image accompanying LURE paper proposes pursuit-evasion self-play to train LLM reasoning without task dataTop-Story
Innovation5 min lesen
Innovation5 min lesen

LURE paper proposes pursuit-evasion self-play to train LLM reasoning without task data

A new arXiv paper presents LURE, a zero-data self-play method in which one language model sets task difficulty while another solves verifiable reasoning challenges. The authors report stronger out-of-distribution zero-shot accuracy than trained baselines across nine held-out benchmarks, but the abstract does not…

Geschichte lesen Verified source: arxiv.org
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