NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction Paper • 2609.10715 • Published 10 days ago • 320
RISE: Recursive Improvement via Self-Extrapolating Policy Distillation Paper • 2609.05295 • Published 15 days ago • 17
InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization Paper • 2607.04988 • Published Jul 6 • 28
Post-Trained MoE Can Skip Half Experts via Self-Distillation Paper • 2605.18643 • Published May 18 • 31
Nonsense Helps: Prompt Space Perturbation Broadens Reasoning Exploration Paper • 2605.05566 • Published May 7 • 38
Embarrassingly Simple Self-Distillation Improves Code Generation Paper • 2604.01193 • Published Apr 1 • 56
FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization Paper • 2603.19835 • Published Mar 20 • 121
Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs? Paper • 2603.24472 • Published Mar 25 • 58
Grounding World Simulation Models in a Real-World Metropolis Paper • 2603.15583 • Published Mar 16 • 154
Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs Paper • 2603.09906 • Published Mar 10 • 76
IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse Paper • 2603.12201 • Published Mar 12 • 69
Does Your Reasoning Model Implicitly Know When to Stop Thinking? Paper • 2602.08354 • Published Feb 9 • 139