large-vision-language-models

[NeurIPS 2024] An official implementation of "ShareGPT4Video: Improving Video Understanding and Generation with Better Captions"

[NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"

An benchmark for evaluating the capabilities of large vision-language models (LVLMs)

[ICLR 2025] Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality

[NeurIPS 2024] Official Repository of Multi-Object Hallucination in Vision-Language Models

[ICLR 2026] AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models

[CVPR 2024 CVinW] Multi-Agent VQA: Exploring Multi-Agent Foundation Models on Zero-Shot Visual Question Answering

[NAACL 2025 Findings] Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding