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Yuan-He Zhang

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#artificial intelligence Preprint Sep 2026

When Reasoning Goes Astray: Attention Dynamics of Uncontrolled Reasoning

Large reasoning models (LRMs) improve performance on complex tasks through extended reasoning, yet the same process can degenerate into redundant verification and persistent generation loops. Such uncontrolled reasoning increases inference cost and creates risks of resource exhaustion and service degradation. However,...

Yuan-He Zhang, Ziwei Wang, Jie Ren et al. · 0 citations
#machine learning Preprint Sep 2026

RESCUE: Repairing Language Model Errors to Sparse Circuits via Reinforcement Learning

Large language models (LLMs) exhibit strong general capabilities that mechanistic interpretability has attributed to sparse computational circuits. However, existing circuit studies emphasize preserving functionality or explaining safety, leaving the mechanisms underlying failures across a broader range of tasks largel...

Chuan-Pu-Zou-Sheng-Li-Guo-Jing-Zhong-Gu-Yue-Shu-Ca Liu, Miao Yu, Yi-Kai Cai et al. · 0 citations

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