Unverified50% confidenceBenchmarkExact time
在HotpotQA等多跳推理基准上，ReAct相比Act-only方案的任务完成率提升约10-15个百分点，同时幻觉率显著降低
1
Sources
50%
Confidence
Long-term
Relevance
7/6/2026
First Seen
Sources
Why Claude Code Ditched RAG for Grep: The Engineering Logic Behind the Decision
bilibiliAI大模型大鱼7/3/2026
Related Claims
VerifiedThrough experiments on multi-hop reasoning benchmarks such as HotpotQA and FEVER, the ReAct paper demonstrated that compared to pure Chain-of-Thought reasoning, ReAct improved accuracy by approximately 10%–30% on tasks requiring external information retrieval.78% similarUnverifiedReAct 在 HotpotQA 等多跳问答任务上比单独 CoT 提升约 10-20 个百分点78% similarUnverified原始论文在HotpotQA、Fever等多跳推理基准上的实验表明，ReAct相比纯CoT将幻觉率降低了约34%75% similarVerifiedReAct's errors amplify in a chain: if the accuracy per step is p, the overall success rate after n steps is approximately p to the power of n; with a per-step accuracy of 95%, the overall success rate drops to approximately 59.9% after 10 steps and only 35.8% after 20 steps.72% similarUnverifiedReAct 相比单纯的 Chain-of-Thought 提示，在多跳推理和信息检索任务上的成功率提升超过 30%69% similar
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