arXiv
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Detecting Silent Failures in Multi-Agentic AI Trajectories

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Tackles silent failures in multi-agent trajectories, where systems produce wrong outcomes without obvious errors, and contributes data and methods to capture diverse multi-agent failure scenarios that current public datasets miss.

Tags

agentic AIevaluationfailure detectionmulti-agent

At a glance

Published

2025

Jurisdiction

Global

Category

Evaluation and benchmarks

Access

Public access

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