TRI-ML / vlm-evaluationLinks
VLM Evaluation: Benchmark for VLMs, spanning text generation tasks from VQA to Captioning
☆123Updated 11 months ago
Alternatives and similar repositories for vlm-evaluation
Users that are interested in vlm-evaluation are comparing it to the libraries listed below
Sorting:
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆87Updated last year
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆91Updated last year
- Official implementation of the Law of Vision Representation in MLLMs☆163Updated 9 months ago
- Python Library to evaluate VLM models' robustness across diverse benchmarks☆210Updated last week
- An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation☆128Updated last year
- A RLHF Infrastructure for Vision-Language Models☆182Updated 9 months ago
- Matryoshka Multimodal Models☆113Updated 7 months ago
- Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR …☆285Updated 2 years ago
- [CVPR'24] HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(…☆296Updated 9 months ago
- [COLM-2024] List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs☆144Updated last year
- [NeurIPS 2023] A faithful benchmark for vision-language compositionality☆83Updated last year
- ☆153Updated 10 months ago
- Code and datasets for "What’s “up” with vision-language models? Investigating their struggle with spatial reasoning".☆57Updated last year
- ☆67Updated 9 months ago
- Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)☆80Updated 3 months ago
- M-HalDetect Dataset Release☆25Updated last year
- The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆218Updated last week
- This repo contains evaluation code for the paper "BLINK: Multimodal Large Language Models Can See but Not Perceive". https://arxiv.or…☆136Updated last year
- [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…☆82Updated 6 months ago
- 🔥 [ICLR 2025] Official Benchmark Toolkits for "Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark"☆29Updated 6 months ago
- MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria☆70Updated 10 months ago
- MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities (ICML 2024)☆307Updated 7 months ago
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆149Updated last year
- ☆77Updated last year
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆92Updated last week
- ☆86Updated 7 months ago
- [NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"☆191Updated 11 months ago
- ☆100Updated last year
- LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning☆148Updated 3 weeks ago
- [TACL'23] VSR: A probing benchmark for spatial undersranding of vision-language models.☆128Updated 2 years ago