Multimodal Large Language Models

Also known as MLLM

Overview

Multimodal large language models connect language generation and reasoning to visual, audio, video, and sometimes sensor or structured data. Common approaches align pretrained modality encoders with a language model using projectors or adapters, or train models to process modalities jointly; instruction tuning, reinforcement learning, retrieval, and tool use extend their capabilities. Evaluation spans visual question answering, document reading, long-video and spatial reasoning, and specialized settings such as medical imaging, where models still often miss fine-grained evidence or fail to use it consistently. A central tension is how to improve cross-modal grounding, temporal and physical reasoning, and safety while reducing the high inference costs of processing long or detailed inputs.

Latest papers

CardsList

1,099 papers106 papers in the last four weeks, up 23% on the four weeks before. 0.6% of all new papers.

  1. Advancing Multi-Robot Networks via MLLM-Driven Sensing, Communication, and Computation: A Comprehensive Survey

    Mar 31, 2026Hyun Jong Yang, Howon Lee, Kyuhong Shim +10Multi-Agent OrchestrationMulti-Robot Coordination

  2. Scaling the Long Video Understanding of Multimodal Large Language Models via Visual Memory Mechanism

    Mar 31, 2026Tao Chen, Kun Zhang, Qiong Wu +5Long-Video UnderstandingMemory-Augmented Video Understanding

  3. ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning

    Mar 30, 2026Huanxuan Liao, Zhongtao Jiang, Yupu Hao +6Efficient Multimodal InferenceMultimodal Large Language Models

  4. Beyond Static Vision: Scene Dynamic Field Unlocks Intuitive Physics Understanding in Multi-modal Large Language Models

    Mar 30, 2026Nanxi Li, Xiang Wang, Yuanjie Chen +3Physical ReasoningMultimodal Large Language Models

  5. CARV: A Diagnostic Benchmark for Compositional Analogical Reasoning in Multimodal LLMs

    Mar 30, 2026Yongkang Du, Xiaohan Zou, Minhao Cheng +1Analogical ReasoningMultimodal Reasoning

  6. Adversarial Attacks on Multimodal Large Language Models: A Comprehensive Survey

    Mar 30, 2026Bhavuk Jain, Sercan Ö. Arık, Hardeo K. ThakurAdversarial Attacks on Unified Multimodal ModelsLLM Security

  7. RealBirdID: Benchmarking Bird Species Identification in the Era of MLLMs

    Mar 27, 2026Logan Lawrence, Mustafa Chasmai, Rangel Daroya +8Fine-Grained Image ClassificationMultimodal Model Evaluation

  8. MA-Bench: Towards Fine-grained Micro-Action Understanding

    Mar 27, 2026Kun Li, Jihao Gu, Fei Wang +3MLLM EvaluationMultimodal Large Language Models

  9. Rocks, Pebbles and Sand: Modality-aware Scheduling for Multimodal Large Language Model Inference

    Mar 27, 2026Konstantinos Papaioannou, Thaleia Dimitra DoudaliLLM ServingLLM Inference Scheduling

  10. Reflect to Inform: Boosting Multimodal Reasoning via Information-Gain-Driven Verification

    Mar 27, 2026Shuai Lv, Chang Liu, Feng Tang +5Multimodal Large Language ModelsMultimodal Reasoning

  11. FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants

    Mar 27, 2026Mahesh Bhosale, Abdul Wasi, Shantam Srivastava +5Multimodal Large Language ModelsMedical VLMs

  12. GazeQwen: Lightweight Gaze-Conditioned LLM Modulation for Streaming Video Understanding

    Mar 26, 2026Trong Thang Pham, Hien Nguyen, Ngan LeMultimodal Large Language ModelsStreaming Video Understanding

  13. Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification

    Mar 26, 2026Ünsal Öztürk, Hatef Otroshi Shahreza, Sébastien MarcelAlgorithmic FairnessMultimodal Large Language Models

  14. Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs

    Mar 26, 2026Jinda Lu, Junkang Wu, Jinghan Li +6RL for VLMsVLM Reasoning

  15. ReLope: From Hidden-State Probing to a Decision Module for Multimodal LLM Routing

    Mar 25, 2026Yaopei Zeng, Congchao Wang, Blake JianHang Chen +1Multimodal Large Language ModelsLLM Routing

  16. ReDiPrune: Relevance-Diversity Pre-Projection Token Pruning for Efficient Multimodal LLMs

    Mar 25, 2026An Yu, Ting Yu Tsai, Zhenfei Zhang +3Efficient VLM InferenceToken Pruning

  17. Video-Only ToM: Enhancing Theory of Mind in Multimodal Large Language Models

    Mar 25, 2026Siqi Liu, Xinyang Li, Bochao Zou +3Theory of MindMultimodal Large Language Models

  18. When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm

    Mar 25, 2026Ye Leng, Junjie Chu, Mingjie Li +5MLLM SafetyImage Generation

  19. A Step Toward Federated Pretraining of Multimodal Large Language Models

    Mar 25, 2026Baochen Xiong, Yifan Xu, Xiaoshan Yang +3Multimodal Federated LearningMultimodal Pretraining

  20. A3^3: Towards Advertising Aesthetic Assessment

    Mar 25, 2026Kaiyuan Ji, Yixuan Gao, Lu Sun +7Image Quality AssessmentMultimodal Large Language Models

  21. Thinking with Tables: Enhancing Multi-Modal Tabular Understanding via Neuro-Symbolic Reasoning

    Mar 25, 2026Kun-Yang Yu, Zhi Zhou, Shi-Yu Tian +6Multimodal UnderstandingMultimodal Large Language Models

  22. Towards Real-World Document Parsing via Realistic Scene Synthesis and Document-Aware Training

    Mar 25, 2026Gengluo Li, Pengyuan Lyu, Chengquan Zhang +7Document ParsingMultimodal Large Language Models

  23. 3DCity-LLM: Empowering Multi-modality Large Language Models for 3D City-scale Perception and Understanding

    Mar 24, 2026Yiping Chen, Jinpeng Li, Wenyu Ke +63D VLMs3D Scene Understanding