MetaSyn benchmark shows LLM agents recover at most 52.7% of relevant studies in meta-analysis pipelines due to failures in PI/ECO-based screening despite strong retrieval.
Rethlefsen, Shona Kirtley, Siw Waffenschmidt, et al
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Derives three EVPI-based stopping policies for document screening and shows higher net utility than recall-target methods on CLEF-IP and medical review datasets.
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Decision-Theoretic Stopping Rules for Document Screening
Derives three EVPI-based stopping policies for document screening and shows higher net utility than recall-target methods on CLEF-IP and medical review datasets.