Can we trust large language models to summarize food policy research papers and generate research briefs?

Generative large language models (LLMs), while widely accessible and capable of simulating policy recommendations, pose challenges in the assessment of their accuracy. Users, including policy analysts and decision-makers, bear the responsibility of evaluating the outcomes from these models. A signif...

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Bibliographic Details
Main Authors: Kim, MinAh, Koo, Jawoo, Jung, Yunchul
Format: Artículo preliminar
Language:Inglés
Published: International Food Policy Research Institute 2023
Subjects:
Online Access:https://hdl.handle.net/10568/137600

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