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English(EN) Language Models that Play Chess and Explain Their Moves

新的“Queen”AI像特级大师一样下棋并解释其走法

研究人员开发了“Queen”,一个拥有40亿参数的语言模型,能够以特级大师水平下棋并解释其走法。该模型集成了专门的国际象棋编码器和指令调优的语言模型,通过迭代蒸馏过程进行训练,该过程在多个周期内优化解释。这种方法将Queen的Elo评分从1782显著提升至2697,在对弈强度和谜题准确性方面均超越了其他前沿模型,同时其解释被发现与GPT-5.6“Sol”相当且连贯。该框架被建议作为一种可迁移的方法,将语言模型应用于其他具有可用专家编码器的领域。 AI

影响 展示了一种将专家知识整合到LLM中的新方法,有可能在复杂的、基于规则的领域中提升AI能力。

排序理由 发布了一篇详细介绍具有新颖能力的新AI模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的“Queen”AI像特级大师一样下棋并解释其走法

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发布了一篇详细介绍具有新颖能力的新AI模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Adithya Bhaskar, Jeffrey Cheng, Danqi Chen ·

    能下棋并解释其走法的语言模型

    arXiv:2610.03695v1 Announce Type: new Abstract: Modern chess engines are silent experts: they play at a superhuman level, but do not offer explanations for their play. On the other hand, language models (LMs) can generate plausible-sounding explanations, but their weak playing st…