English(EN) Impressive new paper from Microsoft and colleagues.

微软的AutoSaddler自动化AI代理工具链优化

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-25 13:45

微软的研究人员开发了AutoSaddler，这是一个旨在自动优化AI代理工具链的新系统。该方法将工具链视为代码，并利用失败跟踪离线学习进行修补。AutoSaddler会迭代地运行任务，诊断失败，为提示和控制逻辑生成结构化补丁，并在更新前验证这些更改。与基础工具链相比，该系统在GAIA2上取得了9.0分的提升，在SWE-Bench Pro上取得了9.6分的提升，在Terminal-Bench 2.0上取得了10.0分的提升，显示出显著的改进。 AI

影响自动化AI代理工具链的优化，可能带来更高效、更强大的AI系统。

排序理由详细介绍一种优化AI代理工具链新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 X — Omar Sanseviero (HF research) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 1 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 详细介绍一种优化AI代理工具链新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

X — Omar Sanseviero (HF research) TIER_1 English(EN) · omarsar0 · 2026-08-25 13:45

微软及其同事发布了令人印象深刻的新论文。

Impressive new paper from Microsoft and colleagues. Harness design is still hand-tuned almost everywhere. This work present an automated loop to optimize the harness. They introduce AutoSaddler, which treats the agent harness as code and learns to patch it offline from failure …

本文如何被排名

报道来源 [1]

微软及其同事发布了令人印象深刻的新论文。

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