RATIO: A Benchmark for Retrieval Across Typed Ideation Operations in Scientific Literature
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 retrieves potential approaches for stated problems, Broaden retrieves more general formulations, and Specify retrieves concrete instantiations. RATIO is constructed from millions of full-text scient...
| Authors | Maayan Sharon, Tom Hope |
|---|---|
| Primary category | cs.CL |
| Published | 27 August 2026 |
| Last updated at source | 13 October 2026 |
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