In the news
ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- ScholarCatalyst is a benchmark dataset where 184 computer science researchers labeled which prior papers inspired their completed projects, enabling evaluation of paper retrieval systems.
- Why it matters
- Matters for engineers building scientific search tools, literature recommendation systems, or AI agents that help researchers discover relevant prior work efficiently.
- Watch out
- Current retrieval methods perform poorly, with even advanced agents reaching only 0.51 recall at rank 20, suggesting the task remains unsolved and requires new training approaches.
- serving
- benchmark
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