Key papers

• Multimodal Continuous Reasoning via Asymmetric Mutual Variational Learning (2026)
  Shijie Li et al.
  2.00
• MentalThink: Shaping Thoughts in Mental SVG World (2026)
  Kangheng Lin et al.
  2.00
• The Side Effects of Being Smart: Safety Risks in MLLMs' Multi-Image Reasoning (2026)
  Renmiao Chen et al.
  1.94
• HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding (2026)
  Haowei Zhang et al.
  1.94
• Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation (2026)
  Zihan Su et al.
  1.94
• SONIC-O1: A Real-World Benchmark for Evaluating Multimodal Large Language Models on Audio-Video Understanding (2026)
  Ahmed Y. Radwan et al.
  1.94
• Training Data Efficiency in Multimodal Process Reward Models (2026)
  Jinyuan Li et al.
  1.94
• V-Retrver: Evidence-Driven Agentic Reasoning for Universal Multimodal Retrieval (2026)
  Dongyang Chen et al.
  1.94
• Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception (2026)
  Lai Wei et al.
  1.94
• CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction (2026)
  Yinghao Ma et al.
  1.94
• Rethinking UMM Visual Generation: Masked Modeling for Efficient Image-Only Pre-training (2026)
  Peng Sun et al.
  1.94
• CREval: An Automated Interpretable Evaluation for Creative Image Manipulation under Complex Instructions (2026)
  Chonghuinan Wang et al.
  1.94
• The Expense of Seeing: Attaining Trustworthy Multimodal Reasoning Within the Monolithic Paradigm (2026)
  Karan Goyal
  1.94
• Uncovering Entity Identity Confusion in Multimodal Knowledge Editing (2026)
  Shu Wu et al.
  1.94
• MineExplorer: Evaluating Open-World Exploration of MLLM Agents in Minecraft (2026)
  Tianjie Ju et al.
  1.94
• Optical Reasoning: Rethinking Images as an Expressive Reasoning Medium Beyond Text (2026)
  Yutong Bian et al.
  1.94
• Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training (2026)
  Michal Chudoba et al.
  1.94
• GridVQA-X: A Framework for Evaluating Multimodal Explainability Methods (2026)
  Sujay Belsare et al.
  1.94
• Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence (2026)
  Xuanle Zhao et al.
  1.94
• Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction (2026)
  Sunqi Fan et al.
  1.94
• Uni-Edit: Intelligent Editing Is A General Task For Unified Model Tuning (2026)
  Dian Zheng et al.
  1.89
• GameWorld: Towards Standardized and Verifiable Evaluation of Multimodal Game Agents (2026)
  Mingyu Ouyang et al.
  1.83
• Small Vision-Language Models are Smart Compressors for Long Video Understanding (2026)
  Junjie Fei et al.
  1.83
• Audio-Omni: Extending Multi-modal Understanding to Versatile Audio Generation and Editing (2026)
  Zeyue Tian et al.
  1.83
• CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation (2026)
  Haodong Li et al.
  1.78
• Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models (2026)
  Yu Zeng et al.
  1.72
• WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models (2026)
  Runjie Zhou et al.
  1.72
• Reliable and Responsible Foundation Models: A Comprehensive Survey (2026)
  Xinyu Yang et al.
  1.72
• Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation (2025)
  Mohammad Mahdi Abootorabi et al.
  1.28
• InterFeedback: Unveiling Interactive Intelligence of Large Multimodal Models via Human Feedback (2025)
  Henry Hengyuan Zhao et al.
  1.28
• M3-AGIQA: Multimodal, Multi-Round, Multi-Aspect AI-Generated Image Quality Assessment (2025)
  Chuan Cui et al.
  1.28
• Introducing Visual Perception Token into Multimodal Large Language Model (2025)
  Runpeng Yu et al.
  1.28
• Taking Notes Brings Focus? Towards Multi-Turn Multimodal Dialogue Learning (2025)
  Jiazheng Liu et al.
  1.28
• LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL (2025)
  Yingzhe Peng et al.
  1.28
• VERIFY: A Benchmark of Visual Explanation and Reasoning for Investigating Multimodal Reasoning Fidelity (2025)
  Jing Bi et al.
  1.28
• Judge Anything: MLLM as a Judge Across Any Modality (2025)
  Shu Pu et al.
  1.28
• AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction (2025)
  Junhao Cheng et al.
  1.28
• V-MAGE: A Game Evaluation Framework for Assessing Visual-Centric Capabilities in Multimodal Large Language Models (2025)
  Xiangxi Zheng et al.
  1.28
• Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images (2025)
  Boyang Deng et al.
  1.28
• Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models (2025)
  Yunxin Li et al.
  1.28
• Unifying Segment Anything in Microscopy with Multimodal Large Language Model (2025)
  Manyu Li et al.
  1.28
• FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow (2025)
  Haoyu Sun et al.
  1.28
• Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning? (2025)
  Junhao Cheng et al.
  1.28
• Active-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO (2025)
  Muzhi Zhu et al.
  1.28
• Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates (2025)
  Jaewoo Ahn et al.
  1.28
• Mirage-1: Augmenting and Updating GUI Agent with Hierarchical Multimodal Skills (2025)
  Yuquan Xie et al.
  1.28
• Kwai Keye-VL Technical Report (2025)
  Kwai Keye Team et al.
  1.28
• UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding (2025)
  Shuquan Lian et al.
  1.28
• Are We on the Right Way for Assessing Document Retrieval-Augmented Generation? (2025)
  Wenxuan Shen et al.
  1.28
• Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability (2025)
  Haiqi Yang et al.
  1.28
• OmniHuman-1.5: Instilling an Active Mind in Avatars via Cognitive Simulation (2025)
  Jianwen Jiang et al.
  1.28
• Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents (2025)
  Zhixin Lin et al.
  1.28
• The Photographer Eye: Teaching Multimodal Large Language Models to See and Critique like Photographers (2025)
  Daiqing Qi et al.
  1.28
• D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents (2025)
  Hongze Mi et al.
  1.28
• Multimodal Policy Internalization for Conversational Agents (2025)
  Zhenhailong Wang et al.
  1.28
• Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback (2025)
  Zongjian Li et al.
  1.28
• Video Reasoning without Training (2025)
  Deepak Sridhar et al.
  1.28
• Video-Thinker: Sparking "Thinking with Videos" via Reinforcement Learning (2025)
  Shijian Wang et al.
  1.28
• RoboOmni: Proactive Robot Manipulation in Omni-modal Context (2025)
  Siyin Wang et al.
  1.28
• Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models (2025)
  Xiaoyu Zhan et al.
  1.28