The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents Paper • 2610.36077 • Published 3 days ago • 539
ParetoRSI-Gym: Can AI Agents Improve Language Models Across Multiple Domains? Paper • 2610.34386 • Published 4 days ago • 15
VideoJev: System One Model for Video Understanding and Interaction Paper • 2610.18615 • Published 16 days ago • 344
Thinking Inertia: LLMs Keep Thinking When Told Not To Paper • 2610.11765 • Published 21 days ago • 246
nanoMuse: An Open-Source Personal Agent for Every Device You Own Paper • 2610.08699 • Published 23 days ago • 122
VABench: Measuring Embodied Spatial Intelligence through Visual Demonstrations, Active Perception, and Metric Control Paper • 2609.19554 • Published Sep 17 • 43
DRG-MAPPO: Hierarchical Dynamic Role-Graph Multi-Agent Reinforcement Learning for Cooperative Air Combat Paper • 2609.11155 • Published Sep 10 • 28
Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation Paper • 2609.08084 • Published Sep 8 • 70
What LLM Trading Agents Actually Do in Production: A Six-Month, Population-Scale Record from Two Fleets Paper • 2609.05663 • Published Sep 4 • 20
Business Arena: Benchmarking LLM Agents in a Realistic Marketplace Paper • 2608.08621 • Published Aug 9 • 23
Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes Paper • 2608.05000 • Published Aug 6 • 67
PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents Paper • 2608.04003 • Published Aug 4 • 36