Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model Paper • 2510.18855 • Published Oct 21 • 71
ARTDECO: Towards Efficient and High-Fidelity On-the-Fly 3D Reconstruction with Structured Scene Representation Paper • 2510.08551 • Published Oct 9 • 32
UniVideo: Unified Understanding, Generation, and Editing for Videos Paper • 2510.08377 • Published Oct 9 • 70
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models Paper • 2510.04618 • Published Oct 6 • 124
Self-Improvement in Multimodal Large Language Models: A Survey Paper • 2510.02665 • Published Oct 3 • 20
Towards General Agentic Intelligence via Environment Scaling Paper • 2509.13311 • Published Sep 16 • 71
FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction Paper • 2508.11987 • Published Aug 16 • 71
STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer Paper • 2508.10893 • Published Aug 14 • 31
VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning Paper • 2507.22607 • Published Jul 30 • 46
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference Paper • 2508.02193 • Published Aug 4 • 132
UloRL:An Ultra-Long Output Reinforcement Learning Approach for Advancing Large Language Models' Reasoning Abilities Paper • 2507.19766 • Published Jul 26 • 14
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training Paper • 2508.00414 • Published Aug 1 • 93
DreamVVT: Mastering Realistic Video Virtual Try-On in the Wild via a Stage-Wise Diffusion Transformer Framework Paper • 2508.02807 • Published Aug 4 • 13
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents Paper • 2507.04009 • Published Jul 5 • 51
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Paper • 2503.16419 • Published Mar 20 • 76