Leveraging Large Language Models for Enhancing Literature-Based Discovery

The exponential growth of biomedical literature necessitates advanced methods for Literature-Based Discovery (LBD) to uncover hidden, meaningful relationships and generate novel hypotheses. This research integrates Large Language Models (LLMs), particularly transformer-based models, to enhance LBD p...

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Bibliographic Details
Main Authors: Ikbal Taleb, Alramzana Nujum Navaz, Mohamed Adel Serhani
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Big Data and Cognitive Computing
Subjects:
Online Access:https://www.mdpi.com/2504-2289/8/11/146
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