1.6 KiB
1.6 KiB
Paper: OSWorld2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks
type: paper title: "OSWorld2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks" authors: Mengqi Yuan, Zilong Zhou, Xinzhuang Xiong, Weiming Wu, Jiayang Sun, Jiamin Song, Kaiqian Cui, Bowen Wang, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.29537 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-28 updated_at: 2026-06-28 status: queued relevance: high topics:
- agent-evaluation
- agent-safety
- coding-agent
- computer-use
- memory
- planning
- rag
- reasoning
- tool-use
- workflow-agent methods:
benchmarks:
models:
datasets:
- cs.AI related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 21 collection_queries: web-gui-agent
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: web-gui-agent
- inferred topics: agent-evaluation, agent-safety, coding-agent, computer-use, memory, planning, rag, reasoning, tool-use, workflow-agent
- arXiv categories: cs.AI
- collection score: 21
Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from
queuedtoskimmedorsummarized?