e-means: outperforming k-means (in one-tenth the epochs) Paper • 2611.09501 • Published 8 days ago • 11
The Surprising Effectiveness of Deleting Weights in LLM Post-Training Paper • 2611.10866 • Published 7 days ago • 21
Knowing When Thinking Is Not Enough: Teaching Small Reasoning Models to Reason Beyond Their Parametric Knowledge Paper • 2609.34327 • Published Sep 28 • 40
Is Complex Agentic Memory Always Needed? Naive RAG Is Stronger Than We Thought Paper • 2610.30755 • Published 23 days ago • 23
NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction Paper • 2609.10715 • Published Sep 9 • 167
RISE: Recursive Improvement via Self-Extrapolating Policy Distillation Paper • 2609.05295 • Published Sep 4 • 19
InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization Paper • 2607.04988 • Published Jul 6 • 27
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 • 96
Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs? Paper • 2603.24472 • Published Mar 25 • 57