Unverified50% confidenceFactExact time
Multi-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.
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10/1/2026
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UnverifiedMulti-hop reasoning refers to complex questions that require sequentially or jointly extracting information from multiple sources to answer; implementation methods include iterative retrieval, graph-structured retrieval, and agent-based approaches, which improve complex question answering but increase latency and the probability of errors.80% similarUnverifiedTest-time compute scaling improves performance on complex reasoning tasks by investing more computation during the inference stage through methods such as extending the chain of thought, multi-path sampling with best-of-n selection, and self-verification reflection.75% similarUnverifiedCompositional questions refer to complex questions that require chaining and combining multiple basic reasoning steps to answer, such as simultaneously judging trend and seasonality and then inferring their interaction.71% similarUnverifiedMechanisms such as Chain-of-Thought, multi-step verification, and self-reflection are implementations of test-time compute scaling.69% similarUnverifiedIn multi-hop reasoning scenarios, each hop's retrieval should incrementally supplement based on the conclusions of the previous hop, and the decision model can explicitly track the known information set to avoid redundant recall.69% similar
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