Key papers

• HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering (2026)
  Dan Ben-Ami et al.
  1.94
• The Chain Holds, the Answer Folds: Trace-Answer Dissociation in Reasoning Models Under Adversarial Pressure (2026)
  Yubo Li et al.
  1.89
• FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces (2025)
  Zhenran Xu et al.
  1.28
• Can a Single Model Master Both Multi-turn Conversations and Tool Use? CALM: A Unified Conversational Agentic Language Model (2025)
  Emre Can Acikgoz et al.
  1.28
• EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents (2025)
  Rui Yang et al.
  1.28
• Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data Scarsity (2025)
  Dylan Zhang et al.
  1.28
• CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era (2025)
  Kanzhi Cheng et al.
  1.28
• Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning (2025)
  Yibin Wang et al.
  1.28
• Understanding Generative AI Capabilities in Everyday Image Editing Tasks (2025)
  Mohammad Reza Taesiri et al.
  1.28
• MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models (2025)
  Hang Hua et al.
  1.28
• Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models (2025)
  Tiezheng Zhang et al.
  1.28
• OpenCUA: Open Foundations for Computer-Use Agents (2025)
  Xinyuan Wang et al.
  1.28
• Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory (2025)
  Lin Long et al.
  1.28
• Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation (2025)
  Junyan Ye et al.
  1.28
• End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning (2025)
  Qiaoyu Zheng et al.
  1.28
• MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs (2024)
  Ziyu Liu et al.
  —
• Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems (2024)
  Philippe Laban et al.
  —
• Visual Haystacks: Answering Harder Questions About Sets of Images (2024)
  Tsung-Han Wu et al.
  —
• MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities (2024)
  Weihao Yu et al.
  —
• Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risk of Language Models (2024)
  Andy K. Zhang et al.
  —
• Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types (2024)
  Neelabh Sinha et al.
  —
• CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark (2024)
  Zachary S. Siegel et al.
  —
• Improving Autonomous AI Agents with Reflective Tree Search and Self-Learning (2024)
  Xiao Yu et al.
  —
• MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders (2024)
  Cheng Li et al.
  —
• MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models (2024)
  Hang Hua et al.
  —
• VidEgoThink: Assessing Egocentric Video Understanding Capabilities for Embodied AI (2024)
  Sijie Cheng et al.
  —
• OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization (2024)
  Hongliang He et al.
  —
• OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision (2024)
  Cong Wei et al.
  —
• VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models (2024)
  Lei Li et al.
  —
• Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models (2024)
  YiFan Zhang et al.
  —
• LearnLM: Improving Gemini for Learning (2024)
  LearnLM Team et al.
  —