On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters Paper • 2606.02437 • Published 15 days ago • 228
Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs Paper • 2605.30611 • Published 19 days ago • 193
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players Paper • 2605.28816 • Published 20 days ago • 423
SkillOpt: Executive Strategy for Self-Evolving Agent Skills Paper • 2605.23904 • Published 25 days ago • 230
CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence Paper • 2605.12882 • Published May 13 • 271
MinT: Managed Infrastructure for Training and Serving Millions of LLMs Paper • 2605.13779 • Published May 13 • 220
Stream-R1: Reliability-Perplexity Aware Reward Distillation for Streaming Video Generation Paper • 2605.03849 • Published May 5 • 126
Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items Paper • 2604.19748 • Published Apr 21 • 251
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model Paper • 2604.20796 • Published Apr 22 • 243
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning Paper • 2604.02721 • Published Apr 3 • 633
Adam's Law: Textual Frequency Law on Large Language Models Paper • 2604.02176 • Published Apr 2 • 507
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger Paper • 2602.08222 • Published Feb 9 • 290
Green-VLA: Staged Vision-Language-Action Model for Generalist Robots Paper • 2602.00919 • Published Jan 31 • 325
OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration Paper • 2602.05400 • Published Feb 5 • 355