Papers
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
Leyang Shen, Gongwei Chen, Rui Shao et al.
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
Jiannan Wu, Muyan Zhong, Sen Xing et al.
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models
Tianle Gu, Zeyang Zhou, Kexin Huang et al.
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
Haogeng Liu, Quanzeng You, Xiaotian Han et al.
Grounding Multimodal Large Language Models in Actions
Andrew Szot, Bogdan Mazoure, Harsh Agrawal et al.
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
Jiaqi Li, Qianshan Wei, Chuanyi Zhang et al.
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model
Yiming Sun, Fan Yu, Shaoxiang Chen et al.
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models
Mingrui Wu, Xinyue Cai, Jiayi Ji et al.
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models
Ziqiang Liu, Feiteng Fang, Xi Feng et al.
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models
Yichi Zhang, Yao Huang, Yitong Sun et al.
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
Yang Yue, Yulin Wang, Bingyi Kang et al.
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
Xun Wu, Shaohan Huang, Guolong Wang et al.
MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model
Chaoya Jiang, Hongrui Jia, Haiyang Xu et al.
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
Baao Xie, Qiuyu Chen, Yunnan Wang et al.
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models
Haoyu Chen, Wenbo Li, Jinjin Gu et al.
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
Xiyao Wang, Yuhang Zhou, Xiaoyu Liu et al.
Unified Hallucination Detection for Multimodal Large Language Models
Xiang Chen, Chenxi Wang, Yida Xue et al.
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA
Yue Fan, Jing Gu, Kaiwen Zhou et al.
MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception
Yuhao Wang, Yusheng Liao, Heyang Liu et al.
CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models
Fuwen Luo, Chi Chen, Zihao Wan et al.
Model Composition for Multimodal Large Language Models
Chi Chen, Yiyang Du, Zheng Fang et al.
Peacock: A Family of Arabic Multimodal Large Language Models and Benchmarks
Fakhraddin Alwajih, El Moatez Billah Nagoudi, Gagan Bhatia et al.
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain
Liang Chen, Yichi Zhang, Shuhuai Ren et al.
MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering
Dexuan Xu, Yanyuan Chen, Jieyi Wang et al.
MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms
Yiqiao Jin, Minje Choi, Gaurav Verma et al.