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Jing-Yu Hu

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#natural language process... Preprint Oct 2026

HeadEdit: Calibrating Language Model Behavior Through the Frozen Unembedding Matrix

Alignment does not eliminate behavioral errors in language models. Models may still refuse benign requests, call unnecessary tools, or yield to false user claims. Current methods mitigate such errors as a computation problem, and rarely explore if the desired behavior is already encoded in the model's representation. M...

Zirui He, Hai-Yan Zhao, Jing-Yu Hu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

LogicTrack: Auditing Reasoning Trajectories of Large Language Models with Formal Logic Solvers

Chain-of-Thought (CoT) reasoning has been shown to improve the performance of large language models (LLMs), yet existing optimization methods largely rely on outcome-based feedback, leaving the logical validity of intermediate reasoning steps largely unverified. To address the gap whereby LLMs arrive at correct final a...

Jing-Yu Hu, Shu Yang, Wei-Ru Liu et al. · 0 citations

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