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Updated: Sep 9, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

681

大規模な言語モデルを使用して,スケーラブルな科学的関心プロファイリング

Yilun Liang1,2, Gongbo Zhang1, Edward Sun3

  • 1Department of Biomedical Informatics, Columbia University, New York, NY, USA.

ArXiv
|September 2, 2025
PubMed
まとめ

大型言語モデル (LLM) は科学的な興味のプロファイリングを自動化できます. メディカル・オブジェクト・ヘッディング (MeSH) 用語を使用して生成されたプロフィールは,人間で書かれた要約との違いにもかかわらず,抽象ベースのプロフィールよりも優れた読みやすさを示しました.

キーワード:
クールバック-ライブラー分岐大規模な言語モデル自然言語の生成研究者のプロフィール

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