跳到正文
原文
Agent Control Flash News·· 3 小时前AI 评分45

WeaveBench 长程混合接口基准测试,最佳 PassRate 仅 41.2%

混合接口长程才测得出编排:MSRA/清华 WeaveBench,最佳 PassRate 仅 41.2%

Edge-TTS 广播级有声
全员无门槛畅听
点击合成广播级音频
00:00
00:00
AI 导读

现有基准常把 GUI / CLI / 代码当可分能力,长程跨接口编排欠测。

一手信源
学术论文·arXiv:2606.09426

WeaveBench 长程混合接口基准测试,最佳 PassRate 仅 41.2% (arXiv:2606.09426)

“View PDF HTML (experimental) Abstract: Computer-use agents (CUAs) increasingly operate in runtimes that combine visual desktop control, comm”

正文

View PDF HTML (experimental)

Abstract:Computer-use agents (CUAs) increasingly operate in runtimes that combine visual desktop control, command-line execution, code editing, browsers, and external tools. Existing benchmarks, however, often evaluate these interfaces as separable capabilities, leaving long-horizon cross-interface orchestration under-tested. Thus, we introduce WeaveBench, a long-horizon hybrid-interface benchmark with 114 tasks across 8 real-world work domains, grounded in real user requests and publicly verifiable artifacts. Each task requires agents to combine GUI observations/actions with CLI/code operations within a single trajectory. We evaluate these tasks on a real Ubuntu desktop inside deployed CLI-agent runtimes, augmented with a minimal desktop-control plugin. We also propose a companion trajectory-aware judge that inspects deliverables, files, screenshots, logs, and action traces, while detecting shortcut behaviors such as fabricated visual evidence or hard-coded metrics. Across frontier model-runtime pairings, the best PassRate reaches only 41.2%, showing the benchmark remains far from saturated. The trajectory-aware judge further reveals that outcome-only grading substantially overestimates agent performance. Overall, WeaveBench exposes a critical gap in CUA evaluation and provides an effective testbed to measure whether agents can orchestrate GUI, CLI, and code operations across long-horizon real-world tasks.
Subjects: Artificial Intelligence (cs.AI)
Cite as: arXiv:2606.09426 [cs.AI]
  (or arXiv:2606.09426v3 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2606.09426

arXiv-issued DOI via DataCite

Submission history

From: Wanli Li [view email]
[v1] Mon, 8 Jun 2026 12:39:23 UTC (5,458 KB)
[v2] Wed, 10 Jun 2026 16:25:06 UTC (5,467 KB)
[v3] Mon, 6 Jul 2026 14:25:02 UTC (5,459 KB)

来源:Agent Control Flash News · arxiv.org

关联产品与深度拆解

原创·站长/Quantara 团队·约 3 分钟深度解析

Cursor Agent 架构全景拆解:从影子工作区到多文件推演引擎

全面剖析 Cursor 在 Agent 模式下的底层技术实现,解析影子分支隔离、LSP 上下文剪枝以及预测性补全的核心架构细节与工程实践经验。

深入理解底层架构与行业变量阅读拆解 →
精选·Vercel Changelog·约 1 分钟深度解析

Vercel v0 推出全新多 Agent 协作画布与实时全栈部署预览

动态速评:v0 正在从单一组件生成器演进为全栈应用搭建协作台,尤其是与 Neon/Postgres 的直连极大降低了全栈原型验证成本。

深入理解底层架构与行业变量阅读拆解 →