somvy / multimodal_unlearningLinks
Experiments for our CLEAR benchmark of unlearning methods in a multimodal setup
☆17Updated 4 months ago
Alternatives and similar repositories for multimodal_unlearning
Users that are interested in multimodal_unlearning are comparing it to the libraries listed below
Sorting:
- [NAACL 2025 Main] Official Implementation of MLLMU-Bench☆43Updated 8 months ago
- A Task of Fictitious Unlearning for VLMs☆26Updated 8 months ago
- Code for ICLR 2025 Paper "GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment"☆20Updated 10 months ago
- [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"☆84Updated 2 years ago
- ☆66Updated 9 months ago
- Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering☆94Updated last year
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆65Updated last year
- ☆31Updated 8 months ago
- ☆178Updated 3 weeks ago
- ☆33Updated 7 months ago
- ☆62Updated 4 months ago
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆141Updated 6 months ago
- ☆28Updated last year
- ☆65Updated last year
- ECSO (Make MLLM safe without neither training nor any external models!) (https://arxiv.org/abs/2403.09572)☆34Updated last year
- A curated list of Awesome Personalized Large Multimodal Models resources☆47Updated 2 months ago
- [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.☆81Updated 10 months ago
- [ICLR 2025] PyTorch Implementation of "ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time"☆27Updated 4 months ago
- [ICLR '25] Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations"☆96Updated last week
- The official repository for paper "MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance"☆44Updated last year
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆41Updated last year
- Less is More: High-value Data Selection for Visual Instruction Tuning☆17Updated 10 months ago
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆28Updated 2 years ago
- This repo contains the code for the paper "Understanding and Mitigating Hallucinations in Large Vision-Language Models via Modular Attrib…☆30Updated 4 months ago
- [ICML 2024 Oral] Official code repository for MLLM-as-a-Judge.☆86Updated 9 months ago
- ☆23Updated last year
- Code of the paper: Finetuning Text-to-Image Diffusion Models for Fairness☆44Updated last year
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆72Updated 9 months ago
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆85Updated last year
- Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)☆77Updated last year