On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Paper • 2606.02437 • Published Jun 1 • 241
Good Token Hunting: A Hitchhiker's Guide to Token Selection for Visual Geometry Transformers Paper • 2605.23892 • Published May 22 • 8
PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects Paper • 2605.21572 • Published May 20 • 55
Where Should Diffusion Enter a Language Model? Geometry-Guided Hidden-State Replacement Paper • 2605.14368 • Published May 14 • 16
Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation Paper • 2605.11739 • Published May 13 • 61
MolmoAct2: Action Reasoning Models for Real-world Deployment Paper • 2605.02881 • Published May 4 • 356
SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks Paper • 2604.20087 • Published Apr 22 • 15
Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach Paper • 2604.11547 • Published Apr 13 • 5
FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling Paper • 2604.06916 • Published Apr 8 • 34
Adam's Law: Textual Frequency Law on Large Language Models Paper • 2604.02176 • Published Apr 2 • 510
Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability Paper • 2604.06628 • Published Apr 8 • 330
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models Paper • 2604.04707 • Published Apr 6 • 203
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning Paper • 2604.02721 • Published Apr 3 • 639
FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization Paper • 2603.19835 • Published Mar 20 • 353
From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models Paper • 2602.22859 • Published Feb 26 • 150