SkillClaw: Let Skills Evolve Collectively with Agentic Evolver Paper • 2604.08377 • Published 5 days ago • 268
HY-Embodied-0.5: Embodied Foundation Models for Real-World Agents Paper • 2604.07430 • Published 6 days ago • 159
HSImul3R: Physics-in-the-Loop Reconstruction of Simulation-Ready Human-Scene Interactions Paper • 2603.15612 • Published 28 days ago • 152
FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization Paper • 2603.19835 • Published 25 days ago • 332
CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation Paper • 2602.24286 • Published Feb 27 • 97
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning Paper • 2602.08234 • Published Feb 9 • 74
Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models Paper • 2601.22060 • Published Jan 29 • 155
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger Paper • 2602.08222 • Published Feb 9 • 289
OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration Paper • 2602.05400 • Published Feb 5 • 352
Idea2Story: An Automated Pipeline for Transforming Research Concepts into Complete Scientific Narratives Paper • 2601.20833 • Published Jan 28 • 183
Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment Paper • 2601.14249 • Published Jan 20 • 13
Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders Paper • 2601.16208 • Published Jan 22 • 55
The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models Paper • 2601.15165 • Published Jan 21 • 73
VisGym: Diverse, Customizable, Scalable Environments for Multimodal Agents Paper • 2601.16973 • Published Jan 23 • 40
Toward Efficient Agents: Memory, Tool learning, and Planning Paper • 2601.14192 • Published Jan 20 • 57