116 citations · 161 across the 10 of their papers we have counts for
10 papers
GANDR: Claim Auditing for Verifiable Legal Answer Generation
Chen Qian, Yimeng Wang, Yu Chen +2
In high-stakes domains such as legal practice, a language-model answer is only useful to the extent that a reader can verify each claim against the source the system cites. Current…
AtomCite: Verification and Correction of Supplied Page-Level Citations in Multi-Page Documents
Chen Qian, Yimeng Wang, Yu Chen +2
Large language models answering questions over multi-page documents are expected to cite the supporting pages, yet supplied citations are sometimes inaccurate, and current evaluati…
To Use or Not to Use: Investigating Student Perceptions of Faculty Generative AI Usage in Higher Education
Jie Gao, Jiayi Zhang, Dan Chen
While Generative AI (GenAI) rapidly integrated into higher education, existing research has primarily focused on regulating student use. As a result, student perspectives on facult…
Designing AI Peers for Collaborative Mathematical Problem Solving with Middle School Students: A Participatory Design Study
Wenhan Lyu, Yimeng Wang, Murong Yue +5
Collaborative problem solving (CPS) is a fundamental practice in middle-school mathematics education; however, student groups frequently stall or struggle without ongoing teacher s…
Exploring Customizable Interactive Tools for Therapeutic Homework Support in Mental Health Counseling
Yimeng Wang, Liabette Escamilla, Yinzhou Wang +2
Therapeutic homework (i.e., tasks assigned by therapists for clients to complete between sessions) is essential for effective psychotherapy, yet therapists often interpret fragment…
From "Thinking" to "Justifying": Aligning High-Stakes Explainability with Professional Communication Standards
Chen Qian, Yimeng Wang, Yu Chen +2
Explainable AI (XAI) in high-stakes domains should help stakeholders trust and verify system outputs. Yet Chain-of-Thought methods reason before concluding, and logical gaps or hal…
Will Your Next Pair Programming Partner Be Human? An Empirical Evaluation of Generative AI as a Collaborative Teammate in a Semester-Long Classroom Setting
Wenhan Lyu, Yimeng Wang, Yifan Sun +1
Generative AI (GenAI), especially Large Language Models (LLMs), is rapidly reshaping both programming workflows and computer science education. Many programmers now incorporate Gen…
Understanding Attitudes and Trust of Generative AI Chatbots for Social Anxiety Support
Yimeng Wang, Yinzhou Wang, Kelly Crace +1
Social anxiety (SA) has become increasingly prevalent. Traditional coping strategies often face accessibility challenges. Generative AI (GenAI), known for their knowledgeable and c…
Evaluating an LLM-Powered Chatbot for Cognitive Restructuring: Insights from Mental Health Professionals
Yinzhou Wang, Yimeng Wang, Ye Xiao +5
Recent advancements in large language models (LLMs) promise to expand mental health interventions by emulating therapeutic techniques, potentially easing barriers to care. Yet ther…
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…