English(EN) TelemetrySuffBench: Is Agent Telemetry Sufficient for Failure-Origin Diagnosis?

新基准揭示 AI 代理故障诊断差距

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-11 04:00

引入了一个名为 TelemetrySuffBench 的新基准，用于评估 AI 代理系统利用执行跟踪诊断故障源的能力。该基准包含具有延迟绑定故障的受控多组件跟踪，揭示了五个前沿语言模型在故障检测与准确故障源定位之间存在显著差距。结果表明，虽然模型可以有效检测故障，但它们难以查明确切原因，尤其是在面对需要弃权的模糊输入时。该研究强调了显式决策到来源链接和弃权保护机制对于 AI 代理系统中可靠因果归因的重要性。 AI

影响凸显了 AI 代理故障诊断中的关键局限性，表明需要改进遥测和弃权机制。

排序理由该项目是一篇研究论文，介绍了一个用于评估 AI 代理系统的新基准。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Yuxuan Zhu, Peng Pu · 2026-08-11 04:00

TelemetrySuffBench：代理遥测数据足以诊断故障源吗？

arXiv:2608.07899v1 Announce Type: new Abstract: Agent systems increasingly expose execution traces, yet telemetry that reveals a failure may still be inadequate for identifying where that failure originated. We introduce TelemetrySuffBench, a controlled benchmark that separates f…

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TelemetrySuffBench：代理遥测数据足以诊断故障源吗？

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