Comparative analysis of generative LLMs for labeling entities in clinical notes
Abstract This paper evaluates and compares different fine-tuned variations of generative large language models (LLM) in the zero-shot named entity recognition (NER) task for the clinical domain. As part of the 8th Biomedical Linked Annotation Hackathon, we examined Llama 2 and Mistral models, includ...
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| Main Authors: | Rodrigo del Moral-González, Helena Gómez-Adorno, Orlando Ramos-Flores |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BioMed Central
2025-02-01
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| Series: | Genomics & Informatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s44342-024-00036-x |
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