Author

Yanjun Lin

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#artificial intelligence Preprint Sep 2026

UNBIND: UNlearning By INference-time Directional Steering for Code LLMs

Code large language models acquire programming capabilities from large code corpora, but can also memorize implementations that later require removal. Code unlearning is needed to control their continued reproduction when copyright or security concerns arise. However, targeted and retained code share computational patt...

Zhengyang Shan, Jia-Yu Xin, Yan-Jun Lin et al. · 0 citations

Preprint Aug 2026

Optimizing What Policies Learn From: Recoverability-aware Rollout Intervention Learning

Recoverability-Aware Intervention Learning (RAIL), a training-time framework that learns how to generate rollouts based on the improvement produced by each intervention, consistently improves performance under limited rollout budgets.

Zheyuan Zhang, Man-Qing Mao, Hong Wang et al. · 0 citations