---
id: 20260516-T0-02
title: "Collider-Bench：用粒子物理分析测试AI代理的复杂任务能力"
title_en: "Collider-Bench Tests AI Agents on Complex Physics Tasks"
url: https://ai.daily.yangsir.net/daily/20260516-T0-02
issue_date: 2026-05-16
publish_date: 2026-05-15T04:00:00.000Z
category: research
source_name: "arXiv cs.LG (ML)"
source_url: https://arxiv.org/abs/2605.13950
---

# Collider-Bench：用粒子物理分析测试AI代理的复杂任务能力

斯坦福研究团队推出Collider-Bench，首个针对AI代理在高复杂度科学任务中表现的基准测试。该测试让代理重现粒子物理分析过程，包含多个工具调用和决策步骤，填补了现有 benchmarks 无法评估真实科研场景复杂性的空白。研究人员发现，当前最先进的AI代理在完成多步骤科学任务时错误率高达40%，主要卡在工具选择和参数校准环节。这一测试将帮助开发者优化AI在科研领域的应用。

## English Version

**Collider-Bench Tests AI Agents on Complex Physics Tasks**

Stanford researchers introduce Collider-Bench, the first benchmark evaluating AI agents on complex scientific tasks like reproducing particle physics analyses. The test involves multi-step workflows with tool use and decision-making. Current top agents achieve 40% error rates on these tasks, struggling with tool selection and parameter calibration. This benchmark will help improve AI performance in scientific research.

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**来源**：[arXiv cs.LG (ML)](https://arxiv.org/abs/2605.13950)

**详情页**：https://ai.daily.yangsir.net/daily/20260516-T0-02

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