LoGRA: Scaling LLM Reinforcement Learning with Low-Rank Gradient Sketches Paper • 2610.06647 • Published 9 days ago • 150
BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute Paper • 2506.22716 • Published Jun 28, 2025
Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training Paper • 2507.12507 • Published Jul 16, 2025 • 1
A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence Paper • 2507.21046 • Published Jul 28, 2025 • 87
ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents Paper • 2603.18815 • Published Mar 19 • 14
Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text Paper • 2601.22975 • Published Jan 30 • 113
Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence Paper • 2604.24954 • Published Apr 27 • 27
Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning Paper • 2607.21653 • Published Jul 22 • 34
Agora: Git as Shared Memory for Collective AutoResearch Paper • 2609.18094 • Published 28 days ago • 59
Mid-Harness: Scaling Actions Between Model and Harness for Terminal Agents Paper • 2609.39982 • Published 14 days ago • 119
OSWorld-Pro: Process-based Evaluation for Computer Use Agents Paper • 2609.24890 • Published 22 days ago • 28
SEER: Self-Evolving Event Reasoning and Retrieval for Time Series Forecasting Paper • 2610.04109 • Published 12 days ago • 35
RRSI: Regularized Recursive Self-Improvement of Agent Harnesses Paper • 2609.24972 • Published 23 days ago • 229
Agora: Git as Shared Memory for Collective AutoResearch Paper • 2609.18094 • Published 28 days ago • 59
Agent Explorative Policy Optimization for Multimodal Agentic Reasoning Paper • 2605.28774 • Published May 27 • 90
LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding Paper • 2605.27365 • Published May 26 • 143