Article

Adapting LLMs for Biomedical Natural Language Processing: A Comprehensive Benchmark Study on Fine-Tuning Methods

2025-11-13

Abstract excerpt

<title>Abstract</title> <p>The application of large language models (LLMs) in biomedical natural language processing (NLP) shows promise, yet the complexity and specificity of biomedical texts often challenge general-purpose models. Fine-tuning, which customizes LLMs for domain-specific tasks, is essential to address these challenges and optimize performance. This study systematically evaluates various fine-tunin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 87c3ef10-4812-50e1-a743-13cbe407b1db
DOI: 10.21203/rs.3.rs-7369550/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Adapting LLMs for Biomedical Natural Language Processing: A Comprehensive Benchmark Study on Fine-Tuning MethodsDOI 10.21203/rs.3.rs-7369550/v1Read

Me-LLaMA: Medical Foundation Large Language Models for Comprehensive Text Analysis and BeyondSemantic proximity Read

Me-LLaMA: Foundation Large Language Models for Medical ApplicationsSemantic proximity Read

Evaluation of Large Language Model Performance on the Biomedical Language Understanding and Reasoning Benchmark: Comparative StudySemantic proximity Read

Doc Bot: The Medical LLM Fine-tuned on LLaMA 3 8B Using LoRA and Insights from the Medical FieldSemantic proximity Read

The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLPSemantic proximity Read

Generalist Foundation Models Are Not Clinical Enough for Hospital OperationsSemantic proximity Read

Medical Large Language Models: Methods and ApplicationsSemantic proximity Read

An Empirical Analysis of Fine-Tuning Large Language Models on Bioinformatics Literature: PRSGPT and BioStarsGPTSemantic proximity Read

Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language ProcessingSemantic proximity Read

For clinical data extraction, QLoRA attains accuracy close to LoRA while requiring lower compute resourcesSemantic proximity Read

CLEVER: Clinical Large Language Model Evaluationby Expert ReviewSemantic proximity Read

DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domainsSemantic proximity Read