| A bibliometric review of large language models research from 2017 to 2023 L Fan, L Li, Z Ma, S Lee, H Yu, L Hemphill ACM Transactions on Intelligent Systems and Technology 15 (5), 1-25, 2024 | 155 | 2024 |
| 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 29 (9), 10729-10762, 2023 | 117 | 2023 |
| 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 | 102 | 2023 |
| 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 | 102 | 2022 |
| “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 18 (2), 1-36, 2024 | 92 | 2024 |
| 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 | 68 | 2021 |
| 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 | 55 | 2022 |
| 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 | 51 | 2020 |
| NPHardEval: Dynamic benchmark on reasoning ability of large language models via complexity classes L Fan, W Hua, L Li, H Ling, Y Zhang Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2023 | 33 | 2023 |
| 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 | 31 | 2021 |
| A scoping review of using large language models (LLMs) to investigate electronic health records (EHRs) L Li, J Zhou, Z Gao, W Hua, L Fan, H Yu, L Hagen, Y Zhang, TL Assimes, ... arXiv preprint arXiv:2405.03066, 2024 | 28 | 2024 |
| 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 | 22 | 2021 |
| Attackeval: How to evaluate the effectiveness of jailbreak attacking on large language models D Shu, M Jin, C Zhang, L Li, Z Zhou, Y Zhang arXiv preprint arXiv:2401.09002, 2024 | 21 | 2024 |
| 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 | 20 | 2022 |
| 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 | 19 | 2023 |
| 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 | 19 | 2021 |
| When AI meets finance (stockagent): Large language model-based stock trading in simulated real-world environments C Zhang, X Liu, M Jin, Z Zhang, L Li, Z Wang, W Hua, D Shu, S Zhu, X Jin, ... arXiv preprint arXiv:2407.18957, 2024 | 16 | 2024 |
| 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 | 13 | 2024 |
| 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 52 (8), 1919-1927, 2024 | 12 | 2024 |
| Prompt design matters for computational social science tasks but in unpredictable ways S Atreja, J Ashkinaze, L Li, J Mendelsohn, L Hemphill arXiv preprint arXiv:2406.11980, 2024 | 12 | 2024 |
Lizhou FanIncoming Assistant Professor, Hong Kong SARVerified email at bwh.harvard.edu
