muirbench / MuirBenchLinks
A Comprehensive Benchmark for Robust Multi-image Understanding
☆15Updated last year
Alternatives and similar repositories for MuirBench
Users that are interested in MuirBench are comparing it to the libraries listed below
Sorting:
- Preference Learning for LLaVA☆51Updated 11 months ago
- ✨✨The Curse of Multi-Modalities (CMM): Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio☆49Updated 3 months ago
- [ICML2024] Repo for the paper `Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models'☆21Updated 9 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆80Updated last year
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆93Updated 2 months ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆70Updated last year
- VideoHallucer, The first comprehensive benchmark for hallucination detection in large video-language models (LVLMs)☆38Updated this week
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆88Updated last year
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆48Updated last year
- ☆18Updated last year
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆54Updated 11 months ago
- Code and datasets for "What’s “up” with vision-language models? Investigating their struggle with spatial reasoning".☆62Updated last year
- FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models☆30Updated 7 months ago
- Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)☆77Updated last month
- [NAACL 2024] Vision language model that reduces hallucinations through self-feedback guided revision. Visualizes attentions on image feat…☆46Updated last year
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆82Updated 11 months ago
- The codebase for our EMNLP24 paper: Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Mo…☆83Updated 8 months ago
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆65Updated 4 months ago
- ☆33Updated 11 months ago
- Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models (ACL-Findings 2024)☆16Updated last year
- We introduce new approach, Token Reduction using CLIP Metric (TRIM), aimed at improving the efficiency of MLLMs without sacrificing their…☆15Updated 10 months ago
- [SCIS 2024] The official implementation of the paper "MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Di…☆59Updated 11 months ago
- Code for "AVG-LLaVA: A Multimodal Large Model with Adaptive Visual Granularity"☆32Updated last year
- ☆50Updated last year
- Emergent Visual Grounding in Large Multimodal Models Without Grounding Supervision☆40Updated last week
- Repo for paper: "Paxion: Patching Action Knowledge in Video-Language Foundation Models" Neurips 23 Spotlight☆37Updated 2 years ago
- Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."☆48Updated last year
- Official implementation of "Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation" (CVPR 202…☆37Updated 5 months ago
- Code and data for ACL 2024 paper on 'Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space'☆16Updated last year
- The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".☆34Updated 2 years ago