2 papers
cs.LG2026
Test-Time Unlearning via Sparse Autoencoder
Pingzhi Li, Jinhao Duan, Vaishnav Tadiparthi +6
Machine unlearning aims to remove specific knowledge from a trained large language model (LLM) without retraining from scratch. Existing methods modify model weights via gradient a…
cs.LG2026
When Retain Constraints Conflict: Mitigating Forget-Retain Interference in Tabular Data
Zijie Liu, Jinhao Duan, Bingqi Shang +3
Machine unlearning aims to remove the influence of designated training data while preserving model utility, but its behavior on tabular data remains underexplored. This gap is impo…