Author

J. Keung

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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

#natural language process... Preprint Sep 2026

Draft-KV: Learning Useful Latent Communication Between Language Models

Latent communication passes internal states between language models instead of decoded text, but higher receiver accuracy does not show that the receiver used the message content, so the interface can supply the gain while making the sharer dispensable.

Lin-Quan Wu, Shi-Chang Meng, Tianxiang Jiang et al. · 1 citation

#large language models Preprint Sep 2026

Keep Evaluation Fair: Detecting Data Leakage in Code Generation Benchmarks via Membership Inference Attacks

Experiments on eight code generation benchmarks show that CGMIA outperforms eight existing membership inference methods in most cases, and effectively detects known leaked APPS samples in StarCoder-7B's training data.

Dong-Dong Zhao, Jian Chen, Guan-Cheng Lin et al. · 0 citations