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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Xiao-Xue Ma

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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
Conference Jul 2026

Designing Psychologically Safe AI Tutors for Students: An Emotion-Aware Post-Hoc Intervention for LLM-Assisted Learning

Large language models (LLMs) are increasingly integrated into students' learning processes, serving not only as cognitive tools for academic support but also as conversational partners that influence learners' emotional experience. However, existing LLM-based learning systems are not explicitly designed to account for...

Yi-Cheng Sun, J. Keung, Hi-Kuen Yu et al. · 0 citations

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