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Lingyao Li
Lingyao Li
University of Michigan, School of Information
在 umich.edu 的电子邮件经过验证
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引用次数
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Key factors in MOOC pedagogy based on NLP sentiment analysis of learner reviews: What makes a hit
L Li, J Johnson, W Aarhus, D Shah
Computers & Education 176, 104354, 2022
762022
A bibliometric review of large language models research from 2017 to 2023
L Fan, L Li, Z Ma, S Lee, H Yu, L Hemphill
arXiv preprint arXiv:2304.02020, 2023
732023
Social media crowdsourcing for rapid damage assessment following a sudden-onset natural hazard event
L Li, M Bensi, Q Cui, GB Baecher, Y Huang
International Journal of Information Management 60, 102378, 2021
532021
ChatGPT in education: A discourse analysis of worries and concerns on social media
L Li, Z Ma, L Fan, S Lee, H Yu, L Hemphill
Education and Information Technologies, 2023
442023
Leveraging social media data to study the community resilience of New York City to 2019 power outage
L Li, Z Ma, T Cao
International Journal of Disaster Risk Reduction 51, 101776, 2020
422020
“HOT” ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media
L Li, L Fan, S Atreja, L Hemphill
ACM Transactions on the Web, 2024
35*2024
War and Peace (WarAgent): Large language model-based multi-agent simulation of world wars
W Hua, L Fan, L Li, K Mei, J Ji, Y Ge, L Hemphill, Y Zhang
arXiv preprint arXiv:2311.17227, 2023
332023
How has airport service quality changed in the context of COVID-19: A data-driven crowdsourcing approach based on sentiment analysis
L Li, Y Mao, Y Wang, Z Ma
Journal of Air Transport Management 105, 102298, 2022
292022
Data-driven investigations of using social media to aid evacuations amid Western United States wildfire season
L Li, Z Ma, T Cao
Fire Safety Journal 126, 103480, 2021
212021
Dynamic assessment of the COVID-19 vaccine acceptance leveraging social media data
L Li, J Zhou, Z Ma, MT Bensi, MA Hall, GB Baecher
Journal of Biomedical Informatics 129, 104054, 2022
182022
Anatomy into the battle of supporting or opposing reopening amid the COVID-19 pandemic on Twitter: A temporal and spatial analysis
L Li, A Erfani, Y Wang, Q Cui
Plos one 16 (7), e0254359, 2021
172021
NPHardEval: Dynamic benchmark on reasoning ability of large language models via complexity classes
L Fan, W Hua, L Li, H Ling, Y Zhang, L Hemphill
ACL 2024, 2024
162024
Can social media data be used to evaluate the risk of human interactions during the COVID-19 pandemic?
L Li, Z Ma, H Lee, S Lee
International Journal of Disaster Risk Reduction 56, 102142, 2021
152021
Exploring the potential of social media crowdsourcing for post-earthquake damage assessment
L Li, M Bensi, G Baecher
International Journal of Disaster Risk Reduction 98, 104062, 2023
62023
DataChat: Prototyping a conversational agent for dataset search and visualization
L Fan, S Lafia, L Li, F Yang, L Hemphill
Proceedings of the Association for Information Science and Technology 2023, 2023
6*2023
NPHardEval4V: A dynamic reasoning benchmark of multimodal large language models
L Fan, W Hua, X Li, K Zhu, M Jin, L Li, H Ling, J Chi, J Wang, X Ma, ...
arXiv preprint arXiv:2403.01777, 2024
52024
Examining the potential of ChatGPT on biomedical information retrieval: Fact-checking drug-disease associations
Z Gao, L Li, S Ma, Q Wang, L Hemphill, R Xu
Annals of Biomedical Engineering, 1-9, 2023
52023
Exploring the potential of social media data to support the investigation of a man-made disaster: What caused the Notre Dame fire
L Li, Y Wang, Q Cui
Journal of Management in Engineering 39 (5), 04023028, 2023
42023
Investigating disaster response for resilient communities through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western US wildfire …
Z Ma, L Li, L Hemphill, GB Baecher, Y Yuan
Sustainable Cities and Society 106, 105362, 2024
3*2024
Can social media data be utilized to enhance early warning: Retrospective analysis of the U.S. COVID-19 pandemic
L Li, L Gao, J Zhou, Z Ma, DF Choy, MA Hall
medRxiv, 2021.04. 11.21255285, 2021
32021
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