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Evaluating fine-tuning and retrieval-augmented generation for domain-specific language modeling in wood science

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Bibliographic Details
Published in:Journal of Wood Science
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Wood Science
description
discipline_display Environmental Sciences
discipline_facet Environmental Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:36867
institution FRELIP
journal_source_facet Journal of Wood Science
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Evaluating fine-tuning and retrieval-augmented generation for domain-specific language modeling in wood science
— — — — — Forests and Forestry
Conservation & Biodiversity
Environmental Sciences
sub_discipline_display Conservation & Biodiversity
sub_discipline_facet Conservation & Biodiversity
subject_display — — — — — Forests and Forestry
Conservation & Biodiversity
Environmental Sciences
— — — — — Forests and Forestry
Conservation & Biodiversity
Environmental Sciences
subject_facet — — — — — Forests and Forestry
Conservation & Biodiversity
Environmental Sciences
title Evaluating fine-tuning and retrieval-augmented generation for domain-specific language modeling in wood science
title_auth Evaluating fine-tuning and retrieval-augmented generation for domain-specific language modeling in wood science
title_full Evaluating fine-tuning and retrieval-augmented generation for domain-specific language modeling in wood science
title_fullStr Evaluating fine-tuning and retrieval-augmented generation for domain-specific language modeling in wood science
title_full_unstemmed Evaluating fine-tuning and retrieval-augmented generation for domain-specific language modeling in wood science
title_short Evaluating fine-tuning and retrieval-augmented generation for domain-specific language modeling in wood science
title_sort evaluating fine-tuning and retrieval-augmented generation for domain-specific language modeling in wood science
topic — — — — — Forests and Forestry
Conservation & Biodiversity
Environmental Sciences
url https://link.springer.com/article/10.1186/s10086-026-02257-w