Tutorial 2: Prompt Engineering and Metadata

Starts at
Thu, Nov 9, 2023, 09:00 South Korea Time
( 09 Nov 23 00:00 UTC )
Finishes at
Thu, Nov 9, 2023, 12:30 South Korea Time
( 09 Nov 23 03:30 UTC )
Room 201
This tutorial provides an overview of prompt engineering techniques for beginners, including strategies for formulating prompts, methods for evaluating their effectiveness, and empirical evidence on their performance in core NLP tasks and their potential applications for knowledge organization and management. This tutorial will also engage attendants in hands-on practices for designing prompts for various tasks, and discussions on the strengths and weaknesses of LLMs and prompt engineering.


  • Jian Qin

    Syracuse University

    Jian Qin is Professor at the School of Information Studies, Syracuse University. Her research focuses on metadata and knowledge modeling, knowledge organization, research data management, and scholarly communication. She has published widely and given presentations at numerous national and international conferences and workshops. Her research has been funded by the U.S. National Science Foundation, U.S. National Institutes for Health, and Institute for Museum and Library Services, among others. Jian Qin is a co-author of the Metadata book and the recipient of the 2020 Frederick G. Kilgour Award for Research in Library and Information Technology.

  • Bei Yu

    Syracuse University

    My research areas are Natural Language Processing and Computational Social Science. My recent work focuses on using machine learning and natural language processing techniques to improve science information quality, such as developing NLP methods for identifying exaggerated claims in science papers and press releases.