Unverified50% confidenceBenchmarkExact time
斯坦福大学的AgentBench基准测试(2023年)量化证明,在复杂多步骤任务中纯ReAct范式的成功率往往不超过30%
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7/18/2026
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Related Claims
UnverifiedIn evaluations of early Agent systems, a Stanford research team found that a single-step error rate of 5% can lead to a final failure rate exceeding 40% in 10-step tasks.73% similarUnverified2023年斯坦福研究显示,在需要连续多步决策的任务中,现有Agent系统的成功率随步骤数呈指数级下降71% similarUnverified即便是GPT-4级别的Agent,面对含有5步以上工具调用的复杂任务时,端到端成功率往往低于60%70% similarUnverified斯坦福大学2023年的研究显示,当时主流LLM对间接提示注入的防御成功率普遍低于30%69% similar
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