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RATIO: A Benchmark for Retrieval Across Typed Ideation Operations in Scientific Literature

L5 · ResearcherResearcharXiv· 8/27/2026

Provides a novel evaluation framework for researchers working on scientific literature retrieval and AI-assisted scientific ideation systems.

AI Summary

Researchers introduce RATIO, a large-scale for evaluating retrieval systems across three scientific ideation operations: Address, Broaden, and Specify.

Excerpt

Retrieved scientific literature can serve as inspiration for both human and AI scientists. Inspiration can take different forms: prior work may directly suggest how to address a problem, or surface directions at different levels of abstraction - zooming out to a more general view or zooming in to a concrete realization. We introduce RATIO (Retrieval Across Typed Ideation Operations), a large-scale benchmark in which relevance is defined by three operations which we name ideation moves: Address r

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