Multi-LLM information retrieval pipeline for extracting deep learning methodologies in biodiversity research

Deep learning (DL) techniques are increasingly applied in scientific studies across various domains to address complex research questions. However, the methodological details of these DL models are often hidden in the unstructured text, making it difficult to extract and interpret critical informati...

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Podrobná bibliografie

Hlavní autoři:	Vamsi Krishna Kommineni, Birgitta König-Ries, Sheeba Samuel
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	PeerJ Inc. 2025-11-01
Edice:	PeerJ Computer Science
Témata:	Deep learning Large language models Retrieval augmented generation Biodiversity Reproducibility Human annotators
On-line přístup:	https://peerj.com/articles/cs-3204.pdf
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