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Updated: Sep 10, 2025

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CeRTS:大きな言語モデルでの確実性検索トークン検索 臨床情報抽出

Lars E Schimmelpfennig1, Kriti Bhattarai2, Inez Y Oh1

  • 1Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine, St. Louis, MO, United States.

Journal of biomedical informatics
|August 25, 2025
PubMed
まとめ

確実性回収トークン検索 (CeRTS) は,臨床データ抽出のための大規模な言語モデル (LLM) の不確実性推定を改善します. この新しい方法は,抽出された情報に対してより信頼性の高いスコアを提供し,医療におけるLLMの有効性を高めています.

キーワード:
臨床情報抽出大規模な言語モデル不確実性の推定器

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