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cs.AI2026
ICCU: In-Context Continual Unlearning via Pattern-Induced Refusal Rules
Ruihao Pan, Suhang Wang
Machine unlearning aims to remove the influence of specific data from trained language models. In real-world deployments, unlearning requests often arrive sequentially, which chall…
cs.MA2026
Slipstream: Trajectory-Grounded Compaction Validation for Long-Horizon Agents
Zhuofu Chen, Rui Pan, Yinwei Dai +1
To cope with the large contexts that long-horizon LLM agents produce, modern frameworks increasingly rely on compaction -- invoking an LLM to rewrite the accumulated trajectory int…
cs.CL2026
A Comprehensive Evaluation of LLM Unlearning Robustness under Multi-Turn Interaction
Ruihao Pan, Suhang Wang
Machine unlearning aims to remove the influence of specific training data from pre-trained models without retraining from scratch, and is increasingly important for large language…