activity
20242026
most citedEvaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study

116 citations · 161 across the 10 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CL2026

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…

cs.CL2026

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…

cs.CY2026

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…

cs.HC2026★ 2 cited

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…

cs.HC2026★ 1 cited

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…

cs.AI2026

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…