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A FAIR and Free Prompt-Based Research Assistant

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Natural Language Processing and Information Systems (NLDB 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14763))

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Abstract

This demo will present the Research Assistant (RA) tool developed to assist with six main types of research tasks defined as standardized instruction templates, instantiated with user input, applied finally as prompts to well-known—for their sophisticated natural language processing abilities—AI tools, such as ChatGPT and Gemini. The six research tasks addressed by RA are: creating FAIR research comparisons, ideating research topics, drafting grant applications, writing scientific blogs, aiding preliminary peer reviews, and formulating enhanced literature search queries. RA’s reliance on generative AI tools like ChatGPT or Gemini means the same research task assistance can be offered in any scientific discipline. We demonstrate its versatility by sharing RA outputs in Computer Science, Virology, and Climate Science, where the output with the RA tool assistance mirrored that from a domain expert who performed the same research task.

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Acknowledgements

This work was supported by the German BMBF project SCINEXT (ID 01lS22070).

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Authors and Affiliations

  1. TIB Leibniz Information Centre for Science and Technology, Hannover, Germany

    Mahsa Shamsabadi & Jennifer D’Souza

Authors
  1. Mahsa Shamsabadi
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  2. Jennifer D’Souza
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Corresponding author

Correspondence to Jennifer D’Souza .

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Editors and Affiliations

  1. University of Turin, Turin, Italy

    Amon Rapp

  2. University of Turin, Turin, Italy

    Luigi Di Caro

  3. University of Derby, Derby, UK

    Farid Meziane

  4. Oakland University, Rochester, MI, USA

    Vijayan Sugumaran

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Shamsabadi, M., D’Souza, J. (2024). A FAIR and Free Prompt-Based Research Assistant. In: Rapp, A., Di Caro, L., Meziane, F., Sugumaran, V. (eds) Natural Language Processing and Information Systems. NLDB 2024. Lecture Notes in Computer Science, vol 14763. Springer, Cham. https://doi.org/10.1007/978-3-031-70242-6_21

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  • DOI: https://doi.org/10.1007/978-3-031-70242-6_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-70241-9

  • Online ISBN: 978-3-031-70242-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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