Rate My Professor Lingyao Li

Li's research centers on natural language processing, large language models, social networks, and crowdsourcing to address socio-technical challenges in urban informatics and health informatics, promoting AI for social good. Her work explores resilient and equitable communities, public opinions on health interventions, LLM-driven multi-agent systems, chatbots, and the reasoning capabilities, trustworthiness, and societal impacts of large language models. Key publications include "NPHardEval: Dynamic benchmark on reasoning ability of large language models via complexity classes" (ACL 2024, with L. Fan et al.), "Landscape of large language models in global English news: Topics, sentiments, and spatiotemporal analysis" (AAAI ICWSM 2024, with L. Xian et al.), "'HOT' ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media" (ACM Transactions on the Web, 2023, with L. Fan et al.), "Crowdsourced reviews reveal substantial disparities in public perceptions of parking" (arXiv:2407.05104, 2024), "Exploring the potential of social media crowdsourcing for post-earthquake damage assessment" (International Journal of Disaster Risk Reduction, 2023), and "Dynamic assessment of the COVID-19 vaccine acceptance leveraging social media data" (Journal of Biomedical Informatics, 2022). Her contributions have appeared in venues such as Sustainable Cities and Society, Fire Safety Journal, and AGU Fall Meeting presentations.