knowledge removal

A Robust Unlearning Method with Adaptive Knowledge Guidance and Memory Preservation AAAI 2026 The Silence of the Facts: Popularity as a Barrier to Machine Unlearning ACL 2026 Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis ACL 2025 FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge EMNLP 2025 FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning ICCV 2025 Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models ACL 2025 Lock on Target! Precision Unlearning via Directional Control EMNLP 2025 LUME: LLM Unlearning with Multitask Evaluations EMNLP 2025 Model Unlearning via Sparse Autoencoder Subspace Guided Projections EMNLP 2025 Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU SemEval 2025 NEKO at SemEval-2025 Task 4: A Gradient Ascent Based Machine Unlearning Strategy SemEval 2025 NLPART at SemEval-2025 Task 4: Forgetting is harder than Learning SemEval 2025 Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models EMNLP 2025 Precise In-Parameter Concept Erasure in Large Language Models EMNLP 2025 SEPS: A Separability Measure for Robust Unlearning in LLMs EMNLP 2025 Tool Unlearning for Tool-Augmented LLMs ICML 2025 UNLEARN Efficient Removal of Knowledge in Large Language Models NAACL 2025 Unlearning vs. Obfuscation: Are We Truly Removing Knowledge? EMNLP 2025 Machine Unlearning: Challenges in Data Quality and Access IJCAI 2024 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NeurIPS 2024