Unverified50% confidenceFactExact time
Agent evaluation must address non-deterministic outputs, typically combining rule-based matching, LLM-as-Judge, and human annotation.
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9/19/2026
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UnverifiedCurrent mainstream Agent evaluation approaches fall into three categories: task completion rate based on deterministic assertions, LLM-as-Judge, and end-to-end benchmark test sets (such as SWE-Bench and WebArena).76% similarUnverified对于难以自动化评估的指标（如幻觉率），部分团队引入LLM-as-Judge方法进行辅助评分74% similarUnverifiedAgent tests should programmatically inspect the final state to verify the true end state of the system rather than relying on the model's self-report.73% similarUnverified在采信LLM裁判评分前必须用人工标注对其进行校准，缓解偏差手段包括交换候选顺序取平均、使用CoT提示、多裁判集成73% similar
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