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OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
April 12, 2024, 4:47 a.m. | Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, Yitao Liu, Y
cs.CL updates on arXiv.org arxiv.org
Abstract: Autonomous agents that accomplish complex computer tasks with minimal human interventions have the potential to transform human-computer interaction, significantly enhancing accessibility and productivity. However, existing benchmarks either lack an interactive environment or are limited to environments specific to certain applications or domains, failing to reflect the diverse and complex nature of real-world computer use, thereby limiting the scope of tasks and agent scalability. To address this issue, we introduce OSWorld, the first-of-its-kind scalable, real computer …
agents arxiv benchmarking computer cs.ai cs.cl environments multimodal tasks type
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