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Jin Liu

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Preprint Sep 2026

What Was Once Learned May Need to Be Unlearned: Machine Unlearning for Deprecated API Knowledge in Large Language Models

Large language models (LLMs) for code completion may generate deprecated APIs because their pre-training corpora contain code from historical library versions. Existing approaches use inference-time intervention, model editing, or machine unlearning, but multiple plausible completions make predefined replacements restr...

Jin Liu, Yan-Zhong He, Guan-Cheng Lin et al. · 0 citations
Open access Sep 2026

Understanding Bugs in Model Context Protocol Development Frameworks: An Empirical Study

This study investigates bug symptoms, root causes, bug fixing challenges and patterns, and the effectiveness of LLM-based automated repair in MCP development frameworks, presenting the first large-scale empirical study of bugs in MCP development frameworks.

Si-Cheng He, Chang Li, Jia-Ming Liu et al. · 0 citations

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