Unverified50% confidenceFactExact time
The ReAct-style autonomous decision-making loop of agentic retrieval enables it to handle questions that require multi-hop reasoning.
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50%
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Long-term
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10/5/2026
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Related Claims
UnverifiedReAct improves decision quality by alternating reasoning and action, Chain-of-Thought improves complex reasoning accuracy through explicit intermediate steps, and Tree-of-Thoughts handles highly uncertain problems through multi-path exploration.76% similarUnverified推理时计算扩展通过延长思维链、多路径采样择优、自我验证反思等方式在推理阶段投入更多计算可提升复杂推理任务性能76% similarUnverifiedMechanisms such as Chain-of-Thought, multi-step verification, and self-reflection are implementations of test-time compute scaling.74% similarVerifiedReAct 智能体的核心是「推理-行动-观察」循环，LLM 分析问题后决定调用工具，观察返回结果，若不满足则继续推理直到给出最终回复74% similarUnverifiedMulti-hop Reasoning refers to answering a question that requires traversing multiple independent documents or knowledge nodes, using intermediate reasoning results as input for the next retrieval step.74% similar
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