Showing 1–20 of 34 results
/ Date/ Name
Jun 4, 2025EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT CondensationOct 23, 2024WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language ModelsOct 18, 2023To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For NowFeb 13, 2024Rethinking Machine Unlearning for Large Language ModelsNov 21, 2022CLAWSAT: Towards Both Robust and Accurate Code ModelsFeb 19, 2024UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion ModelsApr 11, 2023Model Sparsity Can Simplify Machine UnlearningApr 28, 2024SOUL: Unlocking the Power of Second-Order Optimization for LLM UnlearningMar 7, 2023Robustness-preserving Lifelong Learning via Dataset CondensationNov 9, 2022On the Robustness of deep learning-based MRI Reconstruction to image transformationsOct 9, 2024Simplicity Prevails: Rethinking Negative Preference Optimization for LLM UnlearningDec 1, 2025Beyond SFT: Reinforcement Learning for Safer Large Reasoning Models with Better Reasoning AbilityFeb 25, 2021On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial PerturbationsDec 21, 2024Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image ClassificationOct 12, 2025One Token Embedding Is Enough to Deadlock Your Large Reasoning ModelMar 9, 2023Text-Visual Prompting for Efficient 2D Temporal Video GroundingMar 27, 2022How to Robustify Black-Box ML Models? A Zeroth-Order Optimization PerspectiveJun 11, 2024Label Smoothing Improves Machine UnlearningOct 10, 2025LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked DataJun 15, 2025Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills