knowledge unlearning

CAP: Controllable Alignment Prompting for Unlearning in LLMs ACL 2026 Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning ACL 2025 COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement IJCAI 2025 Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models EMNLP 2025 Forget for Get: A Lightweight Two-phase Gradient Method for Knowledge Editing in Large Language Models EMNLP 2025 From Evasion to Concealment: Stealthy Knowledge Unlearning for LLMs ACL 2025 Graceful Forgetting in Generative Language Models EMNLP 2025 Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models EMNLP 2025 Large Scale Knowledge Washing ICLR 2025 Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond ICLR 2025 Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing ACL 2025 Safety Alignment via Constrained Knowledge Unlearning ACL 2025 Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs ICLR 2025 Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models AAAI 2025 ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. SemEval 2025 Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NeurIPS 2024 RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models NeurIPS 2024 To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models EMNLP 2024 Knowledge Unlearning for Mitigating Privacy Risks in Language Models ACL 2023