RAIVNLab / sugar-crepeLinks
[NeurIPS 2023] A faithful benchmark for vision-language compositionality
☆86Updated last year
Alternatives and similar repositories for sugar-crepe
Users that are interested in sugar-crepe are comparing it to the libraries listed below
Sorting:
- 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 …☆286Updated 2 years ago
- Official repository for the A-OKVQA dataset☆103Updated last year
- ☆59Updated 2 years ago
- Repo for paper: "Paxion: Patching Action Knowledge in Video-Language Foundation Models" Neurips 23 Spotlight☆37Updated 2 years ago
- [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?☆35Updated 2 years ago
- ICCV 2023 (Oral) Open-domain Visual Entity Recognition Towards Recognizing Millions of Wikipedia Entities☆43Updated 5 months ago
- Code and datasets for "What’s “up” with vision-language models? Investigating their struggle with spatial reasoning".☆65Updated last year
- Code for 'Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality', EMNLP 2022☆31Updated 2 years ago
- The SVO-Probes Dataset for Verb Understanding☆31Updated 3 years ago
- [TACL'23] VSR: A probing benchmark for spatial undersranding of vision-language models.☆131Updated 2 years ago
- NegCLIP.☆37Updated 2 years ago
- Official implementation of "Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data" (ICLR 2024)☆34Updated last year
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆88Updated last year
- Repository for the paper: dense and aligned captions (dac) promote compositional reasoning in vl models☆27Updated last year
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆61Updated 2 years ago
- FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models☆30Updated 8 months ago
- [CVPR 2024] Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding☆53Updated 7 months ago
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆149Updated last year
- PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)☆207Updated 2 years ago
- Compress conventional Vision-Language Pre-training data☆52Updated 2 years ago
- Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning☆165Updated 3 years ago
- Toolkit for Elevater Benchmark☆75Updated 2 years ago
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆34Updated 2 years ago
- ☆120Updated 2 years ago
- ☆82Updated 6 years ago
- Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?" (NeurIPS 2024)☆91Updated last year
- [NeurIPS 2023] Self-Chained Image-Language Model for Video Localization and Question Answering☆189Updated last year
- [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning☆65Updated last month
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆80Updated 2 weeks ago
- ☆27Updated 2 years ago