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.
What happened
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.
Why it matters
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Affected entities
View evidence
1 reports · 1 original report · 1 independent
- AWS Machine Learning BlogPrimary source · Supports · EN · 100%Agent Evaluation Metric for multi-turn conversations ↗
Claims
- Agent Evaluation Metric for multi-turn conversations Observed
Conflicts
No material conflict detected in the available evidence.
Timeline
- First reported
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