Author

Wang Bill Zhu

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Preprint Oct 2026

Language Impairment as a Lens onto Large Language Models

Although large language models (LLMs) encode language in highly distributed spaces, they remain vulnerable to focal disruptions---a phenomenon strikingly similar to how localized brain damage causes clinical aphasia in humans. To investigate this theoretical tension, we ask whether LLMs possess a functional structure a...

Mu-Xuan He, Wang Bill Zhu, Yue-Ying Chen et al. · 0 citations

#artificial intelligence Preprint Oct 2026

PreciseCoder: Faithful and Generalizable Debugging Beyond Unit-Test Rewards

Reinforcement learning (RL) from unit tests is the common recipe for post-training code models, but a unit test only asks whether the final program passes. We analyze what this unit-test-only reward teaches a model during debugging and find that, while it raises pass rates, it also teaches the model to edit more and to...

Yun-Kai Zhan, Miao-Sen Chai, Shang-Shang Wang et al. · 0 citations