OS-MAP: How Far Can Computer-Using Agents Go in Breadth and Depth? Paper • 2507.19132 • Published Jul 25, 2025
Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents Paper • 2510.24702 • Published Oct 28, 2025 • 32
OSWorld-MCP: Benchmarking MCP Tool Invocation In Computer-Use Agents Paper • 2510.24563 • Published Oct 28, 2025 • 23
RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System Paper • 2602.02488 • Published Feb 2 • 36
CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents Paper • 2605.25624 • Published May 25 • 35
EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience Paper • 2601.15876 • Published Jan 22 • 92
EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience Paper • 2601.15876 • Published Jan 22 • 92
MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook Paper • 2509.14142 • Published Sep 17, 2025 • 10
MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models Paper • 2509.14651 • Published Sep 18, 2025
From Illusion to Intention: Visual Rationale Learning for Vision-Language Reasoning Paper • 2511.23031 • Published Nov 28, 2025 • 1
EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience Paper • 2601.15876 • Published Jan 22 • 92
EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience Paper • 2601.15876 • Published Jan 22 • 92
Lumina-mGPT 2.0: Stand-Alone AutoRegressive Image Modeling Paper • 2507.17801 • Published Jul 23, 2025 • 1
EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience Paper • 2601.15876 • Published Jan 22 • 92
AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant Paper • 2410.18603 • Published Oct 24, 2024 • 32