English(EN) Explaining Chess and Go in Natural Language

新方法BinProp增强了AI对国际象棋和围棋着法的解释能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-19 04:00

研究人员开发了BinProp，这是一种新颖的无需训练的方法，用于改进大型语言模型生成的国际象棋和围棋着法的自然语言解释。现有模型在提供可靠解释方面存在困难，常常侧重于表面的棋盘观察。BinProp使这些模型能够发现并利用可转移的国际象棋概念，显著提高了其解释的质量和可重用性。该方法在多种棋类游戏中都显示出有效性，包括国际象棋、围棋、跳棋和将棋，且无需进行特定游戏的调优。 AI

影响增强了AI解释复杂策略决策的能力，有可能改善人机在游戏及其他领域中的协作。

排序理由该集群包含一篇详细介绍改进AI模型解释新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Ori Press, Alexander Golubev · 2026-10-19 04:00

用自然语言解释国际象棋和围棋

arXiv:2610.23166v1 Announce Type: cross Abstract: Modern chess engines play far beyond human ability, often choosing moves whose underlying ideas are difficult for humans to understand. We propose an automatic metric for evaluating chess explanations, grounded in chess-engine eva…

本文如何被排名

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用自然语言解释国际象棋和围棋

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