machine unlearning

ACE: Anti-Editing Concept Erasure in Text-to-Image Models CVPR 2025 A Closer Look at Machine Unlearning for Large Language Models ICLR 2025 Adaptive Graph Unlearning IJCAI 2025 Adversarial Machine Unlearning ICLR 2025 Adversarial Mixup Unlearning ICLR 2025 A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization EMNLP 2025 A General Framework to Enhance Fine-tuning-based LLM Unlearning ACL 2025 AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking SemEval 2025 ``Alexa, can you forget me?'' Machine Unlearning Benchmark in Spoken Language Understanding Interspeech 2025 Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models COLING 2025 Atyaephyra at SemEval-2025 Task 4: Low-Rank Negative Preference Optimization SemEval 2025 Avoiding Copyright Infringement via Large Language Model Unlearning NAACL 2025 Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models AAAI 2025 Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs NAACL 2025 Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset ICLR 2025 Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis ACL 2025 Catastrophic Failure of LLM Unlearning via Quantization ICLR 2025 Certified Machine Unlearning Under High Dimensional Regime JMLR 2025 CLEAR: Character Unlearning in Textual and Visual Modalities ACL 2025 CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP ACL 2025 Community-Centric Graph Unlearning AAAI 2025 Composable Interventions for Language Models ICLR 2025 Concept Bottleneck Large Language Models ICLR 2025 Concept Forgetting via Label Annealing UAI 2025 Contrastive Unlearning: A Contrastive Approach to Machine Unlearning IJCAI 2025