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Language Models that Play Chess and Explain Their Moves

Paper recorded by Signals 4 on 2026-10-02 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-02 on arXiv · recorded by Signals 4 on 2026-10-05

Category: cs.CL · 自然语言处理 · first seen 2026-10-05

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 strength limits the utility of their explanations. We introduce Queen, a 4B-parameter chess-language model that can explain its moves and plans while playing at the level

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#333 most recent of 660 cs.CL papers we have recorded · ↑ newer: Reward Stealing Attack on Large Language Models · ↓ older: World Embedding Benchmark
Cite this page: Language Models that Play Chess and Explain Their Moves: the #333 most recent of 660 cs.CL papers we have recorded (as of 2026-10-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/language-models-that-play-chess-and-explain-their-moves.html
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