Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding Paper • 2604.05015 • Published 12 days ago • 233
Agentic-MME: What Agentic Capability Really Brings to Multimodal Intelligence? Paper • 2604.03016 • Published 15 days ago • 37
FileGram: Grounding Agent Personalization in File-System Behavioral Traces Paper • 2604.04901 • Published 12 days ago • 40
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models Paper • 2604.04707 • Published 12 days ago • 200
PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning Paper • 2603.26653 • Published 21 days ago • 18
PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning Paper • 2603.26653 • Published 21 days ago • 18
Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models Paper • 2603.18118 • Published about 1 month ago • 12
Insight-V++: Towards Advanced Long-Chain Visual Reasoning with Multimodal Large Language Models Paper • 2603.18118 • Published about 1 month ago • 12
VTC-Bench: Evaluating Agentic Multimodal Models via Compositional Visual Tool Chaining Paper • 2603.15030 • Published Mar 16 • 21
VTC-Bench: Evaluating Agentic Multimodal Models via Compositional Visual Tool Chaining Paper • 2603.15030 • Published Mar 16 • 21
VTC-Bench: Evaluating Agentic Multimodal Models via Compositional Visual Tool Chaining Paper • 2603.15030 • Published Mar 16 • 21
BrowseComp-$V^3$: A Visual, Vertical, and Verifiable Benchmark for Multimodal Browsing Agents Paper • 2602.12876 • Published Feb 13 • 12
OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models Paper • 2602.04804 • Published Feb 4 • 50
Research on World Models Is Not Merely Injecting World Knowledge into Specific Tasks Paper • 2602.01630 • Published Feb 2 • 50
DiaDem: Advancing Dialogue Descriptions in Audiovisual Video Captioning for Multimodal Large Language Models Paper • 2601.19267 • Published Jan 27
The Unseen Bias: How Norm Discrepancy in Pre-Norm MLLMs Leads to Visual Information Loss Paper • 2512.08374 • Published Dec 9, 2025
Demo-ICL: In-Context Learning for Procedural Video Knowledge Acquisition Paper • 2602.08439 • Published Feb 9 • 28
Demo-ICL: In-Context Learning for Procedural Video Knowledge Acquisition Paper • 2602.08439 • Published Feb 9 • 28
CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image Generation Paper • 2601.10061 • Published Jan 15 • 32