Author

Kaize Ding

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Preprint Aug 2026

Forgotten in Weights, Recovered by Tools: Agentic Tool Unlearning for LLM Agents

Large language models (LLMs) are increasingly deployed as tool-augmented agents, where responses can depend on tool calls and external observations rather than model parameters alone. This creates an evaluation mismatch for LLM unlearning: previous unlearning methods may suppress direct parametric recall, but an agent...

Baicheng Chen, Zhe-Yuan Liu, Jingyu Zhang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

On the Plasticity Collapse in Continual Machine Unlearning

It is shown that continual unlearning operations accumulate geometric constraints in parameter space, leading to saturated subspaces that restrict future updates, a critical barrier to the long-term reliability of machine unlearning systems and motivate the development of plasticity-preserving unlearning algorithms.

Ying-Dan Shi, Xiang-Dong Xu, Kaize Ding et al. · 0 citations