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Analogical Deep Research: Retrieving and Integrating Historical Analogies for Foresight Analysis

paperactiveprovisionalanalogical-deep-research-retrieving-and-integrating-historical-analogies-for-foresight-analysis-bfb82e9a·1 events·first seen 4d ago

Aliases: Analogical Deep Research: Retrieving and Integrating Historical Analogies for Foresight Analysis

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Analogical Deep Research Causal Analogical Researcher

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5arXiv · cs.CL·4d ago·source ↗

Analogical Deep Research: LLM agents for foresight via historical analogy retrieval

Researchers introduce Analogical Deep Research (ADR), a new task and benchmark (ADR-bench) for evaluating whether LLM agents can find and leverage structural historical analogies for foresight analysis. The paper identifies a core failure mode: agents match on surface features rather than causal mechanisms. The authors propose CANA (Causal Analogical Researcher), an agentic framework using structural decomposition and reflective feedback, achieving up to 10% improvement in analogy generation and outperforming state-of-the-art deep research agents on ADR-bench.

Evaluation and Benchmarking Agent and Tool Ecosystem Analogical Deep Research Causal Analogical Researcher Analogical Deep Research: Retrieving and Integrating Historical Analogies for Foresight Analysis