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upvoted a paper 5 days ago

MineExplorer: Evaluating Open-World Exploration of MLLM Agents in Minecraft

Paper • 2605.30931 • Published May 29 • 12

upvoted 4 papers about 1 month ago

Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments

Paper • 2605.27209 • Published May 26 • 16

VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions

Paper • 2605.27141 • Published May 26 • 20

TopoCurate:Modeling Interaction Topology for Tool-Use Agent Training

Paper • 2603.01714 • Published Mar 2 • 1

Look Before You Leap: Autonomous Exploration for LLM Agents

Paper • 2605.16143 • Published May 15 • 10

upvoted a paper about 2 months ago

Self-Distilled Agentic Reinforcement Learning

Paper • 2605.15155 • Published May 14 • 116

upvoted a paper 4 months ago

V_{0.5}: Generalist Value Model as a Prior for Sparse RL Rollouts

Paper • 2603.10848 • Published Mar 11 • 16

upvoted 5 papers 5 months ago

MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning

Paper • 2601.21468 • Published Jan 29 • 25

Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents

Paper • 2509.23040 • Published Sep 27, 2025 • 12

CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs

Paper • 2602.03048 • Published Feb 3 • 32

V_0: A Generalist Value Model for Any Policy at State Zero

Paper • 2602.03584 • Published Feb 3 • 22

LongCat-Flash-Thinking-2601 Technical Report

Paper • 2601.16725 • Published Jan 23 • 182

liked a dataset 8 months ago

meituan-longcat/VitaBench

Updated Jan 27 • 628 • 27