An ensemble of five RAG-assisted LLMs identifies the presence of deep-learning methodology details in biodiversity papers, agreeing with human annotations on 417 of 600 comparisons.
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Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications
An ensemble of five RAG-assisted LLMs identifies the presence of deep-learning methodology details in biodiversity papers, agreeing with human annotations on 417 of 600 comparisons.