Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models Paper • 2508.10751 • Published Aug 14 • 28
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers Paper • 2508.14704 • Published Aug 20 • 42
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs Paper • 2508.16153 • Published Aug 22 • 154
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications Paper • 2508.16279 • Published Aug 22 • 52
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation Paper • 2410.20774 • Published Oct 28, 2024
Provable Benefits of In-Tool Learning for Large Language Models Paper • 2508.20755 • Published Aug 28 • 11
Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents Paper • 2509.06917 • Published Sep 8 • 41
Agent Lightning: Train ANY AI Agents with Reinforcement Learning Paper • 2508.03680 • Published Aug 5 • 106
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science Paper • 2510.16872 • Published 19 days ago • 92