Key papers

• Qwen3.5-Omni Technical Report (2026)
  Qwen Team
  7.08
• MMFormalizer: Multimodal Autoformalization in the Wild (2026)
  Jing Xiong et al.
  1.94
• POINTS-GUI-G: GUI-Grounding Journey (2026)
  Zhongyin Zhao et al.
  1.94
• Do VLMs Need Vision Transformers? Evaluating State Space Models as Vision Encoders (2026)
  Shang-Jui Ray Kuo et al.
  1.94
• VideoZeroBench: Probing the Limits of Video MLLMs with Spatio-Temporal Evidence Verification (2026)
  Jiahao Meng et al.
  1.94
• Seeing Isn't Believing: Uncovering Blind Spots in Evaluator Vision-Language Models (2026)
  Mohammed Safi Ur Rahman Khan et al.
  1.94
• Improving Vision-language Models with Perception-centric Process Reward Models (2026)
  Yingqian Min et al.
  1.94
• MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI Agents (2026)
  Ziyun Zeng et al.
  1.94
• LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence (2026)
  Xiang An et al.
  1.94
• Advancing Creative Physical Intelligence in Large Multimodal Models (2026)
  Cheng Qian et al.
  1.94
• PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems (2026)
  Suraj Ranganath et al.
  1.94
• Trust the Right Teacher: Quality-Aware Self-Distillation for GUI Grounding (2026)
  Jingyuan Huang et al.
  1.94
• Boundary-Aware Context Grounding for A Low-Channel EEG Agent (2026)
  Zhiyuan Xu et al.
  1.94
• One Forward Beats Two: InnerZoom for Accurate and Efficient GUI Grounding (2026)
  Chen Liu et al.
  1.94
• Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL (2026)
  Sudong Wang et al.
  1.83
• Qianfan-OCR: A Unified End-to-End Model for Document Intelligence (2026)
  Daxiang Dong et al.
  1.78
• Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks (2026)
  Qihua Dong et al.
  1.72
• V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models (2025)
  Hsu-kuang Chiu et al.
  1.28
• Visual-RFT: Visual Reinforcement Fine-Tuning (2025)
  Ziyu Liu et al.
  1.28
• Teaching Metric Distance to Autoregressive Multimodal Foundational Models (2025)
  Jiwan Chung et al.
  1.28
• Taking Notes Brings Focus? Towards Multi-Turn Multimodal Dialogue Learning (2025)
  Jiazheng Liu et al.
  1.28
• SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories (2025)
  Muzhi Zhu et al.
  1.28
• DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding (2025)
  Xinyu Ma et al.
  1.28
• VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning (2025)
  Ye Liu et al.
  1.28
• VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning (2025)
  Xinhao Li et al.
  1.28
• Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis (2025)
  Tianbao Xie et al.
  1.28
• Active-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO (2025)
  Muzhi Zhu et al.
  1.28
• Perceptual Decoupling for Scalable Multi-modal Reasoning via Reward-Optimized Captioning (2025)
  Yunhao Gou et al.
  1.28
• Ovis2.5 Technical Report (2025)
  Shiyin Lu et al.
  1.28
• Unleashing the Potential of Multimodal LLMs for Zero-Shot Spatio-Temporal Video Grounding (2025)
  Zaiquan Yang et al.
  1.28
• GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning (2025)
  Guizhen Chen et al.
  1.28
• From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning (2025)
  Cheng Yang et al.
  1.28
• Reasoning in Space via Grounding in the World (2025)
  Yiming Chen et al.
  1.28
• UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoning (2025)
  Liangyu Chen et al.
  1.28
• Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following (2025)
  Tianyi Xiong et al.
  1.28
• HiconAgent: History Context-aware Policy Optimization for GUI Agents (2025)
  Xurui Zhou et al.
  1.28
• ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning (2025)
  Shengyuan Ding et al.
  1.28
• 3D-LLM: Injecting the 3D World into Large Language Models (2023)
  Yining Hong et al.
  —
• LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent (2023)
  Jianing Yang et al.
  —
• VidChapters-7M: Video Chapters at Scale (2023)
  Antoine Yang et al.
  —
• MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning (2023)
  Jun Chen et al.
  —
• LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents (2023)
  Shilong Liu et al.
  —
• ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling (2024)
  Siming Yan et al.
  —
• OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments (2024)
  Tianbao Xie et al.
  —
• Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents (2024)
  Boyu Gou et al.
  —
• VidEgoThink: Assessing Egocentric Video Understanding Capabilities for Embodied AI (2024)
  Sijie Cheng et al.
  —