[CVPR'24] HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models

[CVPR 2024] Official implementation of "ViTamin: Designing Scalable Vision Models in the Vision-language Era"

[NeurIPS 2024] AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation

[NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment

[ICASSP 2024] The official repo for Harnessing the Power of Large Vision Language Models for Synthetic Image Detection

Code for VLM4Bio, a benchmark dataset of scientific question-answer pairs used to evaluate pretrained VLMs for trait discovery from biological images.

Code Implementation for the paper: Discovering Object Attributes by Prompting Large Language Models with Perception-Action APIs

Proactive Content Moderation Using LLMs and VLMs