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WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces research paper by Microsoft, 2026

Microsoft · Jun 8, 2026 · Agents and evaluation · 7 citations · 47 upvotes · unverified

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What it shows

WeaveBench presents a comprehensive benchmark for evaluating computer-use agents across multiple interfaces, revealing significant challenges in long-horizon task orchestration and highlighting the limitations of traditional performance assessment methods.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Wanli Li, Bowen Zhou, Yunyao Yu and 4 more
arXiv
2606.09426 · PDF
Venue
arXiv.org
Citations
7, 5 influential · Semantic Scholar
Upvotes
47 · Hugging Face
Code
github.com/weavebench/WeaveBench
Lab
Microsoft · on Companies · on Acquisitions · on Quarterly · on Paydays · on Releases · on TechConf

Changes

What changed
Influential citationsfirst count: 5Sep 25, 2026
Citationsfirst count: 7Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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