26 citations · 35 across the 8 of their papers we have counts for
6 papers
Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study
Wenhan Lyu, Yimeng Wang, Tingting +3
The integration of AI assistants, especially through the development of Large Language Models (LLMs), into computer science education has sparked significant debate. An emerging bo…
Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents
Renxi Wang, Haonan Li, Xudong Han +2
Large language models (LLMs) have achieved success in acting as agents, which interact with environments through tools such as search engines. However, LLMs are optimized for langu…
Can Large Language Model Comprehend Ancient Chinese? A Preliminary Test on ACLUE
Yixuan Zhang, Haonan Li
Large language models (LLMs) have showcased remarkable capabilities in understanding and generating language. However, their ability in comprehending ancient languages, particularl…
What Do We Mean When We Talk about Trust in Social Media? A Systematic Review
Yixuan Zhang, Joseph D Gaggiano, Nutchanon Yongsatianchot +5
Do people trust social media? If so, why, in what contexts, and how does that trust impact their lives? Researchers, companies, and journalists alike have increasingly investigated…
Visualization Design Practices in a Crisis: Behind the Scenes with COVID-19 Dashboard Creators
Yixuan Zhang, Yifan Sun, Joseph D. Gaggiano +3
During the COVID-19 pandemic, a number of data visualizations were created to inform the public about the rapidly evolving crisis. Data dashboards, a form of information disseminat…
Examining Older Adults' Information Exposure, Wellbeing, and Adherence to Protective Measures During the COVID-19 Pandemic
Nurul Suhaimi, Nutchanon Yongsatianchot, Yixuan Zhang +6
Older adults are at greater risk of experiencing negative physical and psychological impacts of the novel coronavirus 2019 (COVID-19) pandemic. Our ongoing study is assessing COVID…