RAIVNLab / sugar-crepe
[NeurIPS 2023] A faithful benchmark for vision-language compositionality
☆76Updated 11 months ago
Alternatives and similar repositories for sugar-crepe:
Users that are interested in sugar-crepe are comparing it to the libraries listed below
- [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?☆32Updated last year
- Code and datasets for "What’s “up” with vision-language models? Investigating their struggle with spatial reasoning".☆38Updated 11 months ago
- NegCLIP.☆30Updated last year
- Code for 'Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality', EMNLP 2022☆30Updated last year
- ICCV 2023 (Oral) Open-domain Visual Entity Recognition Towards Recognizing Millions of Wikipedia Entities☆35Updated 4 months ago
- The SVO-Probes Dataset for Verb Understanding☆31Updated 3 years ago
- [ICML2024] Repo for the paper `Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models'☆20Updated 3 weeks ago
- Official repository for the A-OKVQA dataset☆71Updated 8 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆62Updated 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 …☆264Updated last year
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆56Updated last year
- ☆64Updated 5 years ago
- Repo for paper: "Paxion: Patching Action Knowledge in Video-Language Foundation Models" Neurips 23 Spotlight☆37Updated last year
- Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?" (NeurIPS 2024)☆66Updated 3 months ago
- EMNLP2023 - InfoSeek: A New VQA Benchmark focus on Visual Info-Seeking Questions☆17Updated 7 months ago
- ☆57Updated last year
- Repository for the paper: dense and aligned captions (dac) promote compositional reasoning in vl models☆25Updated last year
- ☆38Updated last year
- [TACL'23] VSR: A probing benchmark for spatial undersranding of vision-language models.☆108Updated last year
- ☆60Updated 6 months ago
- ☆28Updated 2 months ago
- This repo contains evaluation code for the paper "BLINK: Multimodal Large Language Models Can See but Not Perceive". https://arxiv.or…☆115Updated 6 months ago
- M-HalDetect Dataset Release☆20Updated last year
- Toolkit for Elevater Benchmark☆69Updated last year
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆32Updated last year
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆141Updated 8 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆79Updated 8 months ago
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆78Updated 11 months ago
- Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations"☆53Updated this week
- Code and data for the paper "Emergent Visual-Semantic Hierarchies in Image-Text Representations" (ECCV 2024)☆25Updated 5 months ago