SIEVE: Selective attention-value Suppression for Vision-Language Models Unlearning
cs.LG, cs.CV
Submitted: 2026-10-01
Updated: 2026-10-01
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Investigating Model Editing for Unlearning in Large Language Models
- LoRA: Low-Rank Adaptation of Large Language Models
- Knowledge Vector Weakening: Efficient Training-free Unlearning for Large Vision-Language Models
- Where Identity Lives: Localized, Retain-Free Identity Unlearning in Multimodal Large Language Models
- TOFU: A Task of Fictitious Unlearning for LLMs
- Locating and Editing Factual Associations in GPT
- SoK: Machine Unlearning for Large Language Models
- Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
- InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
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