Unverified50% confidenceFactExact time
Agent evaluation typically covers dimensions such as Faithfulness, Answer Relevancy, harmful content filtering, and Trajectory Correctness for multi-step tasks.
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10/9/2026
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UnverifiedThe quality of an agent's decisions directly depends on the trustworthiness of the data it ingests; if data definitions are inconsistent across systems, the agent may amplify erroneous judgments after integration.77% similarUnverifiedThe knowledge base determines the accuracy and professionalism of an agent's responses76% similarUnverifiedWhen evaluating Agents, it is necessary to distinguish between correctness and consistency; measuring with external correctness labels is more meaningful than simply counting terminal-state consistency.76% similarUnverifiedThe paper argues that agent trustworthiness cannot be limited solely to behavioral attributes, but should also include a cognitive dimension that depends on how agents employ their own knowledge when making decisions.75% similarUnverifiedAnswer accuracy and retrieval faithfulness are two mutually independent evaluation dimensions; faithfulness evaluation requires verifying whether each key claim in the answer can be directly traced back to the retrieved documents.74% similar
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