Unverified50% confidenceFactExact time
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
1
Sources
50%
Confidence
Long-term
Relevance
7/18/2026
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.76% similarUnverifiedReAct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74% similarUnverifiedEarly agent products mostly adopted the ReAct (Reasoning + Acting) loop pattern, but this pattern has problems such as a single-step failure causing a global collapse and the context growing larger with each step.71% similarUnverifiedIn multi-step automation scenarios, single-step errors caused by model hallucinations are amplified exponentially along the task chain.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/554728API
curl https://kongchang.com/api/v1/knowledge/claims/554728MCP
get_claim(id=554728)