DTCA: Denoising Token Credit Assignment for Reinforcement Learning in Diffusion Language Models Paper • 2610.35201 • Published 4 days ago • 14
The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents Paper • 2610.36077 • Published 4 days ago • 387
Player-1: Learning to Play from Synthetic Experience Paper • 2610.20584 • Published 16 days ago • 258
Vela: Scaling Vision-Language-Action Models with Adaptive Action Curve Parametrization Paper • 2610.05230 • Published 26 days ago • 5
Thinking Inertia: LLMs Keep Thinking When Told Not To Paper • 2610.11765 • Published 22 days ago • 190
AutoDataBench: A Data-centric Testbed for Accelerating Auto Research Paper • 2609.40097 • Published about 1 month ago • 49
Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation Paper • 2609.20744 • Published Sep 17 • 50
Agentic Visual Generation: From Generative Models to Agentic Control Paper • 2609.06758 • Published Sep 6 • 31
Knowing When Not to Reuse: Conditional Experience Transfer in Autonomous LLM Post-Training Paper • 2608.26730 • Published Aug 27 • 101
LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes Paper • 2609.03796 • Published Sep 3 • 97
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills Paper • 2609.02749 • Published Sep 2 • 389
Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving Paper • 2609.00111 • Published Aug 31 • 305
Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models Paper • 2608.27550 • Published Aug 27 • 78
OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution Paper • 2608.00677 • Published Aug 1 • 196
When Memory Lies: An Empirical Study of Spatial Memory Staleness in VLM Agents Paper • 2608.04574 • Published Aug 5 • 15
PCSD: Persistent Consistency for Self-Distillation in Agentic Reinforcement Learning Paper • 2608.01837 • Published Aug 3 • 34