An interdisciplinary outlook on large language models for scientific research

J Boyko, J Cohen, N Fox, MH Veiga, JI Li, J Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we describe the capabilities and constraints of Large Language Models
(LLMs) within disparate academic disciplines, aiming to delineate their strengths and
limitations with precision. We examine how LLMs augment scientific inquiry, offering
concrete examples such as accelerating literature review by summarizing vast numbers of
publications, enhancing code development through automated syntax correction, and
refining the scientific writing process. Simultaneously, we articulate the challenges LLMs …

[CITATION][C] An interdisciplinary outlook on large language models for scientific research. arXiv 2023

J Boyko, J Cohen, N Fox, MH Veiga, JI Li, J Liu… - arXiv preprint arXiv:2311.04929
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