amitakamath / whatsup_vlmsLinks
Code and datasets for "What’s “up” with vision-language models? Investigating their struggle with spatial reasoning".
☆56Updated last year
Alternatives and similar repositories for whatsup_vlms
Users that are interested in whatsup_vlms are comparing it to the libraries listed below
Sorting:
- Github repository for "Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas" (ICML 2025)☆39Updated 3 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆86Updated last year
- Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?" (NeurIPS 2024)☆88Updated 9 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆77Updated last year
- [NeurIPS 2023] A faithful benchmark for vision-language compositionality☆82Updated last year
- Official implementation of "Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data" (ICLR 2024)☆33Updated 9 months ago
- This repo contains evaluation code for the paper "BLINK: Multimodal Large Language Models Can See but Not Perceive". https://arxiv.or…☆133Updated last year
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆69Updated last year
- Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)☆76Updated 2 months ago
- Official implementation of "Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation" (CVPR 202…☆32Updated 2 months ago
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆65Updated last month
- [NeurIPS 2024] Official Repository of Multi-Object Hallucination in Vision-Language Models☆29Updated 8 months ago
- NegCLIP.☆34Updated 2 years ago
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆87Updated last year
- [TACL'23] VSR: A probing benchmark for spatial undersranding of vision-language models.☆127Updated 2 years ago
- [ICLR 2025] Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision☆66Updated last year
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆31Updated 9 months ago
- ☆95Updated 4 months ago
- ☆61Updated 9 months ago
- ☆28Updated 8 months ago
- [ICML2024] Repo for the paper `Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models'☆21Updated 7 months ago
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆55Updated 9 months ago
- [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning☆62Updated 6 months ago
- Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"☆39Updated 8 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆47Updated last year
- Official repository for the A-OKVQA dataset☆96Updated last year
- Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models (ACL-Findings 2024)☆16Updated last year
- code for "Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization"☆57Updated 11 months ago
- [ICLR 2023] CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding☆45Updated last month
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆147Updated last year