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Dun-Yuan Xu

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#artificial intelligence Preprint Sep 2026

Noisy Test-Time Reinforcement Learning for Code LLMs

The Noisy Test-time Reinforcement Learning framework (NTRL-Code) is proposed, which enables robust self-evolution of code LLMs using only unlabeled noisy data during the testing stage, and employs an abstract-syntax-tree (AST)-based structural aggregation mechanism to estimate a proxy target from multiple candidate pro...

Xi-Kai Yang, Hieu Trung Nguyen, Dun-Yuan Xu et al. · 0 citations