Preprint on using LLMs to for evidence-based decision support

We have just uploaded a preprint on using LLMs for conservation evidence, based on our work on large-scale crawling of the academic literature. Well done in particular to Radhika Iyer for having done the bulk of the evaluation on this as part of a very productive summer internship with us!

Careful design of Large Language Model pipelines enables expert-level retrieval of evidence-based information from conservation syntheses

Radhika Iyer, Alec Christie, Anil Madhavapeddy, Sam Reynolds, Bill Sutherland and Sadiq Jaffer.

Working paper at Research Square.

URL (researchsquare.com)   DOI   BIB

# 1st Jan 2025   papers ai biodiversity conservation evidence llms preprint