Best uses of ChatGPT and Generative AI for computer science research
- URL: http://arxiv.org/abs/2311.11175v1
- Date: Sat, 18 Nov 2023 21:57:54 GMT
- Title: Best uses of ChatGPT and Generative AI for computer science research
- Authors: Eduardo C. Garrido-Merchan
- Abstract summary: This paper explores the diverse applications of ChatGPT and other generative AI technologies in computer science academic research.
We highlight innovative uses such as brainstorming research ideas, aiding in the drafting and styling of academic papers and assisting in the synthesis of state-of-the-art section.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Generative Artificial Intelligence (AI), particularly tools like OpenAI's
popular ChatGPT, is reshaping the landscape of computer science research. Used
wisely, these tools can boost the productivity of a computer research
scientist. This paper provides an exploration of the diverse applications of
ChatGPT and other generative AI technologies in computer science academic
research, making recommendations about the use of Generative AI to make more
productive the role of the computer research scientist, with the focus of
writing new research papers. We highlight innovative uses such as brainstorming
research ideas, aiding in the drafting and styling of academic papers and
assisting in the synthesis of state-of-the-art section. Further, we delve into
using these technologies in understanding interdisciplinary approaches, making
complex texts simpler, and recommending suitable academic journals for
publication. Significant focus is placed on generative AI's contributions to
synthetic data creation, research methodology, and mentorship, as well as in
task organization and article quality assessment. The paper also addresses the
utility of AI in article review, adapting texts to length constraints,
constructing counterarguments, and survey development. Moreover, we explore the
capabilities of these tools in disseminating ideas, generating images and
audio, text transcription, and engaging with editors. We also describe some
non-recommended uses of generative AI for computer science research, mainly
because of the limitations of this technology.
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