MetaRubric: Learning to Reward for Rubric-Based Reinforcement Learning Paper • 2610.02824 • Published 6 days ago • 26
Prefill-Free Cross-Family KV Cache Transfer for Heterogeneous Multi-Agent LLMs Paper • 2609.32259 • Published 9 days ago • 95
RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning Paper • 2609.20784 • Published 21 days ago • 57
VidaForge: Open Research Infrastructure for Video Pretraining Data Recipes Paper • 2609.06652 • Published Sep 6 • 20
Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction Paper • 2609.04201 • Published Sep 3 • 50
Knowing When Not to Reuse: Conditional Experience Transfer in Autonomous LLM Post-Training Paper • 2608.26730 • Published Aug 27 • 155
LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes Paper • 2609.03796 • Published Sep 3 • 186
Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination Paper • 2608.14391 • Published Aug 14 • 287
OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution Paper • 2608.00677 • Published Aug 1 • 266
Ex-Omni-2D: Expressive Omni-Modal Dialogue Models with Native Visual Presence Paper • 2608.10720 • Published Aug 11 • 16
SPOT: Sparse Probing and Outcome Calibration for On-Policy Distillation Paper • 2608.04419 • Published Aug 5 • 30
GST-Bench: Can VLMs Develop Global Spatial Awareness from Video? Paper • 2608.05747 • Published Aug 6 • 48
DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF Image-Text-to-Text • 27B • Updated 21 days ago • 509k • 2.42k