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cs.LG2026
Bayesian Test-Time Inference of Task-Aligned Similarity from Weak Interactive Feedback
Weida Liang, Kenji Kawaguchi
Language model systems repeatedly make test-time decisions by comparing similarity: they retrieve exemplars, rank candidates, and revise responses. Yet similarity is not unique: le…
cs.LG2025
LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning
Xiang Li, Qianli Shen, Haonan Wang +1
Recent generative models face significant risks of producing harmful content, which has underscored the importance of machine unlearning (MU) as a critical technique for eliminatin…