When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning Paper • 2602.08236 • Published Feb 9 • 9
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning Paper • 2602.08234 • Published Feb 9 • 70
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning Paper • 2602.10090 • Published Feb 10 • 51
GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL Paper • 2602.22190 • Published 23 days ago • 15
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections Paper • 2603.12180 • Published 8 days ago • 62
SimpleOCR: Rendering Visualized Questions to Teach MLLMs to Read Paper • 2602.22426 • Published 23 days ago
MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the Wild Paper • 2603.17187 • Published 3 days ago • 106
MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the Wild Paper • 2603.17187 • Published 3 days ago • 106
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models Paper • 2410.13085 • Published Oct 16, 2024 • 24
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models Paper • 2410.10139 • Published Oct 14, 2024 • 51
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? Paper • 2407.04842 • Published Jul 5, 2024 • 55
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models Paper • 2407.05131 • Published Jul 6, 2024 • 26