Apertus 1.5: From Open Text Models to Open Multimodal Reasoners Paper • 2610.15542 • Published 8 days ago • 40
RRSI: Regularized Recursive Self-Improvement of Agent Harnesses Paper • 2609.24972 • Published 28 days ago • 230
Small RL Controller, Large Language Model: RL-Guided Adaptive Sampling for Test-Time Scaling Paper • 2606.03102 • Published Jun 2 • 14
You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories Paper • 2605.21468 • Published May 20 • 51
G-Zero: Self-Play for Open-Ended Generation from Zero Data Paper • 2605.09959 • Published May 11 • 18
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling Paper • 2605.08083 • Published May 8 • 71
Compile by Training: Turning Natural-Language Specifications into Local Neural Functions Paper • 2609.04199 • Published Sep 3 • 332
Interactive Training 2: Auditable Control Plane for Live Model Training Paper • 2607.18314 • Published Jul 17 • 21
Compile by Training: Turning Natural-Language Specifications into Local Neural Functions Paper • 2609.04199 • Published Sep 3 • 332
Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning Paper • 2609.03430 • Published Sep 3 • 189
Control-Data Flow Separation: Stable Prompt Optimization in Multi-Agent LLMs Paper • 2609.00621 • Published Sep 1 • 9
Control-Data Flow Separation: Stable Prompt Optimization in Multi-Agent LLMs Paper • 2609.00621 • Published Sep 1 • 9
Interactive Training 2: Auditable Control Plane for Live Model Training Paper • 2607.18314 • Published Jul 17 • 21
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning Paper • 2606.15007 • Published Jun 12 • 20
Dr-DCI: Scaling Direct Corpus Interaction via Dynamic Workspace Expansion Paper • 2606.14885 • Published Jun 12 • 13