NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness Paper • 2609.08183 • Published 2 days ago • 366
HarnessEval-W: Agentifying the Evaluation of Visual Worlds Paper • 2608.16859 • Published 24 days ago • 340
Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA Paper • 2608.09819 • Published about 1 month ago • 342
DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation Paper • 2607.26811 • Published Jul 29 • 93
SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning Paper • 2607.14777 • Published Jul 16 • 107
How Good Can Linear Models Be for Time-Series Forecasting? Paper • 2606.27282 • Published Jun 25 • 14
Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models Paper • 2606.11324 • Published Jun 9 • 173
SAAS: Self-Aware Reinforcement Learning for Over-Search Mitigation in Agentic Search Paper • 2605.29796 • Published May 28 • 26
How Far Will They Go? Red-Teaming Online Influence with Large Language Models Paper • 2605.22880 • Published May 20 • 6
Mean Mode Screaming: Mean--Variance Split Residuals for 1000-Layer Diffusion Transformers Paper • 2605.06169 • Published May 7 • 239
Skill1: Unified Evolution of Skill-Augmented Agents via Reinforcement Learning Paper • 2605.06130 • Published May 7 • 117
RemoteZero: Geospatial Reasoning with Zero Human Annotations Paper • 2605.04451 • Published May 6 • 8
From Context to Skills: Can Language Models Learn from Context Skillfully? Paper • 2604.27660 • Published May 3 • 172
Precise Debugging Benchmark: Is Your Model Debugging or Regenerating? Paper • 2604.17338 • Published Apr 19 • 5
DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off Paper • 2604.13902 • Published Apr 15 • 62
Pseudo-Unification: Entropy Probing Reveals Divergent Information Patterns in Unified Multimodal Models Paper • 2604.10949 • Published Apr 13 • 40