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New RATIO benchmark evaluates scientific literature retrieval for ideation

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced RATIO, a new benchmark designed to evaluate retrieval systems across scientific literature. This benchmark focuses on three specific ideation operations: 'Address' for finding problem-solving approaches, 'Broaden' for retrieving more general concepts, and 'Specify' for locating concrete instantiations. RATIO is constructed from millions of full-text scientific papers using a novel discourse-marker distant supervision method, enhanced by LLM and human validation. Experiments indicate that while operation-specific fine-tuning significantly improves retrieval performance, there remains substantial scope for further advancement in supporting literature-grounded ideation. AI

IMPACT Enhances AI's ability to ideate and conduct research by improving literature search capabilities.

RANK_REASON The cluster describes a new academic benchmark for information retrieval in scientific literature. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New RATIO benchmark evaluates scientific literature retrieval for ideation

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The cluster describes a new academic benchmark for information retrieval in scientific literature. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Tom Hope ·

    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…

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