nickjiang2378 / vl-interp
Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations"
☆51Updated 3 weeks ago
Alternatives and similar repositories for vl-interp:
Users that are interested in vl-interp are comparing it to the libraries listed below
- ☆55Updated 6 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆60Updated 7 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆78Updated 8 months ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆62Updated 7 months ago
- Code and datasets for "What’s “up” with vision-language models? Investigating their struggle with spatial reasoning".☆38Updated 10 months ago
- [NAACL 2024] Vision language model that reduces hallucinations through self-feedback guided revision. Visualizes attentions on image feat…☆43Updated 4 months ago
- ☆31Updated 2 months ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆55Updated 2 months ago
- Preference Learning for LLaVA☆29Updated 2 months ago
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆139Updated 8 months ago
- This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…☆76Updated 9 months ago
- [ICML 2024 Oral] Official code repository for MLLM-as-a-Judge.☆62Updated last month
- An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation☆105Updated last year
- MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆32Updated last month
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆77Updated 9 months ago
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆40Updated 2 months ago
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆22Updated 2 months ago
- Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision☆58Updated 6 months ago
- CLIP-MoE: Mixture of Experts for CLIP☆23Updated 3 months ago
- Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."☆38Updated 2 months ago
- Code for paper: VL-ICL Bench: The Devil in the Details of Benchmarking Multimodal In-Context Learning☆34Updated last week
- Auto Interpretation Pipeline and many other functionalities for Multimodal SAE Analysis.☆97Updated 2 weeks ago
- visual question answering prompting recipes for large vision-language models☆23Updated 4 months ago
- Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models☆72Updated 4 months ago
- Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?" (NeurIPS 2024)☆66Updated 2 months ago
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆77Updated 11 months ago
- The codebase for our EMNLP24 paper: Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Mo…☆67Updated last month
- [NeurIPS 2023] A faithful benchmark for vision-language compositionality☆74Updated 11 months ago
- up-to-date curated list of state-of-the-art Large vision language models hallucinations research work, papers & resources☆71Updated last week