amitakamath / whatsup_vlmsLinks
Code and datasets for "What’s “up” with vision-language models? Investigating their struggle with spatial reasoning".
☆52Updated 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:
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆74Updated 11 months ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆67Updated last year
- Github repository for "Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas" (ICML 2025)☆30Updated last month
- [NeurIPS 2023] A faithful benchmark for vision-language compositionality☆79Updated last year
- Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?" (NeurIPS 2024)☆83Updated 7 months ago
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆56Updated 2 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆86Updated last year
- [ICML2024] Repo for the paper `Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models'☆21Updated 5 months ago
- [NeurIPS'24] SpatialEval: a benchmark to evaluate spatial reasoning abilities of MLLMs and LLMs☆37Updated 4 months ago
- [NeurIPS 2024] Official Repository of Multi-Object Hallucination in Vision-Language Models☆29Updated 6 months ago
- ☆26Updated 6 months ago
- Official implementation for CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding☆45Updated last year
- [ICLR 2025] Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision☆63Updated 10 months ago
- ☆53Updated 7 months ago
- Repo for paper: "Paxion: Patching Action Knowledge in Video-Language Foundation Models" Neurips 23 Spotlight☆37Updated 2 years ago
- A Comprehensive Benchmark for Robust Multi-image Understanding☆11Updated 9 months ago
- Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)☆73Updated last week
- Official implementation of "Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data" (ICLR 2024)☆31Updated 7 months ago
- [NAACL 2024] Vision language model that reduces hallucinations through self-feedback guided revision. Visualizes attentions on image feat…☆46Updated 9 months ago
- Code and data setup for the paper "Are Diffusion Models Vision-and-language Reasoners?"☆32Updated last year
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆84Updated last year
- Official code for "AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning"☆28Updated 3 weeks ago
- The official repo for "Where do Large Vision-Language Models Look at when Answering Questions?"☆36Updated 2 weeks ago
- NegCLIP.☆32Updated 2 years ago
- Official implementation of "Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation" (CVPR 202…☆27Updated last week
- ☆18Updated 10 months ago
- Official repo of the ICLR 2025 paper "MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos"☆28Updated 8 months ago
- ACL'24 (Oral) Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback☆65Updated 8 months ago
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆88Updated last year
- Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision☆41Updated 2 months ago