Unverified50% confidenceFactExact time
ReAct范式在CoT基础上引入行动维度，形成思考→行动→观察→再思考的闭环，显著减少大模型幻觉问题
1
Sources
50%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
Related Claims
VerifiedReAct effectively reduces the occurrence of hallucinations and enhances the interpretability of task execution by deeply integrating reasoning traces with environmental interaction.82% similarUnverified在长链路任务中，纯ReAct范式会因每步微小偏差被放大形成'幻觉漂移'，逐渐偏离原始意图74% similarUnverifiedReAct的思考—行动—观察循环机制使Agent在处理多步骤复杂任务时表现出更高可靠性，显著减少幻觉和错误累积73% similarUnverifiedReAct范式通过将思考（Thought）→行动（Action）→观察（Observation）三元组交织在同一上下文中构建闭环反馈控制系统73% similarUnverifiedReAct/AutoAgent范式通过'思考-行动-观察'循环自主决定下一步，灵活性强但不确定性高，容易出现幻觉漂移或死循环72% similar
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