Co-Creating Question-and-Answer Style Articles with Large Language Models for Research Promotion-Reference-Cited by-同舟云学术

Co-Creating Question-and-Answer Style Articles with Large Language Models for Research Promotion

Published:2024-07 Issue: Volume:7 Page:975-994
ISSN:
Container-title:Designing Interactive Systems Conference
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Author:

Lim Hyunseung¹^ORCID,Cho Ji Yong²^ORCID,Kim Taewan¹^ORCID,Park Jeongeon³^ORCID,Shin Hyungyu³^ORCID,Choi Seulgi³^ORCID,Park Sunghyun⁴^ORCID,Lee Kyungjae⁵^ORCID,Kim Juho³^ORCID,Lee Moontae⁶^ORCID,Hong Hwajung¹^ORCID

Affiliation:

1. Department of Industrial Design, KAIST, Korea, Republic of

2. LG AI Research, Korea, Republic of and Department of Information Science, Cornell University, United States

3. School of Computing, KAIST, Korea, Republic of

4. Advanced Machine Learning Lab, LG AI Research, Korea, Republic of

5. LG AI Research, Korea, Republic of

6. Advanced Machine Learning Lab, LG AI Research, Korea, Republic of and Information and Decision Sciences, University of Illinois Chicago, United States

Funder

LG AI Research

Publisher

ACM

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4. Tal August, Lauren Kim, Katharina Reinecke, and Noah A Smith. 2020. Writing strategies for science communication: Data and computational analysis. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 5327–5344.

5. Paper Plain : Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing