newsAWS Machine LearningTrust 88 · LabPublished 4d agoLive · 2d ago
Agent Evaluation Metric for multi-turn conversations
Multi-turn agents fail in ways single-turn evaluation misses: one early mistake corrupts every later turn. This post introduces the Agent Evaluation Metric (AEM), a decomposable, turn-level way to measure agent quality, applied to its first dimension, correctness, to pinpoint the turn that caused a failure and separate it from the turns that inherited it.
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 63%EdgarOrtegaRamirez/eval-agent →
- PossiblePossibly related (embedding) · 57%Who Grades the Grader? Co-Evolving Evaluation Metrics and Skills for Self-Improving LLM Agents →
- PossiblePossibly related (embedding) · 55%EMPATH: A Multilingual Auditor-Judge Benchmark for Safety Evaluation of Emotional-Support Chatbots →
- PossiblePossibly related (embedding) · 54%Wrong but Useful: Trajectory Value Beyond Answer Correctness in Multi-Agent Messages →
- PossiblePossibly related (embedding) · 53%Clean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints →
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repoEdgarOrtegaRamirez/eval-agentpaperWho Grades the Grader? Co-Evolving Evaluation Metrics and Skills for Self-Improving LLM AgentspaperEMPATH: A Multilingual Auditor-Judge Benchmark for Safety Evaluation of Emotional-Support ChatbotspaperWrong but Useful: Trajectory Value Beyond Answer Correctness in Multi-Agent MessagespaperClean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints
Related across the graph
paperEMPATH: A Multilingual Auditor-Judge Benchmark for Safety Evaluation of Emotional-Support ChatbotspaperWho Grades the Grader? Co-Evolving Evaluation Metrics and Skills for Self-Improving LLM AgentspaperClean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared EndpointsrepoEdgarOrtegaRamirez/eval-agentpaperWrong but Useful: Trajectory Value Beyond Answer Correctness in Multi-Agent Messages
