Author

Dan-Qi Chen

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#natural language process... Preprint Oct 2026

Language Models that Play Chess and Explain Their Moves

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 ches...

Adithya Bhaskar, Jeffrey Cheng, Dan-Qi Chen · 0 citations

#artificial intelligence Feb 2026

When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning

Leveraging reinforcement learning, MPAR$^2$ improves perception performance on CAFE from 31.74% to 63.51% and effectively mitigates perception decay, concurrently enhancing reasoning capabilities to achieve a significant 74.59% accuracy on the MMAU benchmark.

Rui Mao, Xiangnan Ma, Dan-Qi Chen et al. · arXiv.org · 1 citation