Unverified50% confidenceOpinionExact time
The paper argues that for evaluators, end-to-end task success rate should become a core metric alongside single-step accuracy.
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11/5/2026
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SLATE Benchmark Exposes AI Agent Weakness: 74% Single-Step Accuracy but Only 5% Task Success Rate
redditr/LangChain11/5/2026
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UnverifiedWhen evaluating document information extraction tasks, commonly used metrics include field-level exact match, recall, and end-to-end accuracy.79% similarVerifiedThe focus of evaluation is shifting from the quality of model text output to the ability of agents to complete end-to-end tasks, with evaluation dimensions expanding from a single accuracy metric to multi-dimensional metrics including task completion rate, step efficiency, error recovery capability, and time overhead.78% similarUnverified结果层的核心指标是任务整体成功率（Task-level Success）78% similarUnverifiedThe core conclusion of the study is that agent evaluation should score closed-loop outcomes and report both reliability and coverage.77% similarUnverifiedJoint success rate is the core evaluation metric adopted in this study, referring to the proportion of cases in which the agent simultaneously satisfies requirements across multiple task dimensions.77% similar
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