Author

Yi-Huai Hong

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#artificial intelligence Preprint Sep 2026

Making LLMs Say What They Think: Measuring and Improving CoT-Interpretability Alignment

Chain-of-thought (CoT) traces often serve as a proxy for how Large Language Models (LLMs) arrive at their answers. However, growing evidence shows that models'CoT often fails to reflect their internal computations and can be changed without affecting their final answers. In this work, we measure and improve the alignme...

Yi-Huai Hong, Shauli Ravfogel, Chen Zhao et al. · 0 citations

#natural language process... Preprint Feb 2026

Identifying Crucial Attention Heads for Multilingual Language Models: Retrieval and Retrieval-Transition Heads

A cross-lingual needle-in-the-haystack task is designed, to identify RTHs that retrieve key information and further map it to target-language output and advances the understanding of multilingual LMs by isolating the attention heads responsible for mapping to target languages.

Shaswat Patel, Vishvesh Trivedi, Yue Han et al. · 0 citations