3 citations · 5 across the 14 of their papers we have counts for
14 papers
PolyDebate: A Game-Orchestrated Multimodal System for Debate Skills Practice and Evaluation
Jianing Yin, Weng Pan Kuan, Xiaoyun Liu +4
Debate is a structured form of persuasive communication that trains argument construction, rebuttal, oral delivery, and audience awareness. These skills are valued in education, la…
PolyPresentation: A Multimodal AI Platform for Slide-Aware Iterative Presentation Practice
Chen Chen, Jihao Li, Zhiyuan Wen +3
Presentations are essential for students, researchers, and professionals to communicate ideas persuasively, yet delivering them effectively requires repeated practice that coordina…
PolyInterview: An LLM-based Platform for Immersive Mock Interview Practice with Comprehensive Multimodal Assessment
Zhiyuan Wen, Jiannong Cao, Kelly Chan +5
Preparing for job interviews is important for securing desired positions, yet realistic practice remains difficult to access: real interviews are infrequent, expert mock coaching i…
PersonalPlan: Planning Multi-Agent Systems for Personalized Programming Learning
Zhiyuan Wen, Jiannong Cao, Peng Gao +4
Effective programming education requires personalized instruction adapted to diverse learner backgrounds. However, while LLM-based multi-agent systems (MAS) excel at complex planni…
FactCheck: Feasibility-aware Long-term Action Anticipation with Multi-agent Collaboration
Rui Cao, Jiannong Cao, Bo Yuan +2
Long-term action anticipation (LTA) aims to predict an ordered sequence of future verb-noun actions from a partially observed video. While this task serves as the foundation for em…
PS: Parameterized Control for Fine-Grained Student Proficiency Simulation
Ruochen Liu, Zhiyuan Wen, Hao Yan +3
Understanding how students with different proficiency levels respond to educational materials is a critical issue within the field of AI for Education. However, acquiring sufficien…
FollowUpBot: An LLM-Based Conversational Robot for Automatic Postoperative Follow-up
Chen Chen, Jianing Yin, Jiannong Cao +5
Postoperative follow-up plays a crucial role in monitoring recovery and identifying complications. However, traditional approaches, typically involving bedside interviews and manua…
CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education
Jianing Zhao, Peng Gao, Jiannong Cao +5
Large Language Models (LLMs) have demonstrated considerable potential in improving coding education by providing support for code writing, explanation, and debugging. However, exis…
InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System
Zhiyuan Wen, Jiannong Cao, Zian Wang +3
The exponential growth of academic literature creates urgent demands for comprehensive survey papers, yet manual writing remains time-consuming and labor-intensive. Recent advances…
Self-assessment, Exhibition, and Recognition: a Review of Personality in Large Language Models
Zhiyuan Wen, Yu Yang, Jiannong Cao +3
As large language models (LLMs) appear to behave increasingly human-like in text-based interactions, more and more researchers become interested in investigating personality in LLM…
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach
Yicong Li, Yu Yang, Jiannong Cao +3
Recent studies successfully learned static graph embeddings that are structurally fair by preventing the effectiveness disparity of high- and low-degree vertex groups in downstream…
Personality-affected Emotion Generation in Dialog Systems
Zhiyuan Wen, Jiannong Cao, Jiaxing Shen +3
Generating appropriate emotions for responses is essential for dialog systems to provide human-like interaction in various application scenarios. Most previous dialog systems tried…
Affective-NLI: Towards Accurate and Interpretable Personality Recognition in Conversation
Zhiyuan Wen, Jiannong Cao, Yu Yang +2
Personality Recognition in Conversation (PRC) aims to identify the personality traits of speakers through textual dialogue content. It is essential for providing personalized servi…
Low-Resource Court Judgment Summarization for Common Law Systems
Shuaiqi Liu, Jiannong Cao, Yicong Li +2
Common law courts need to refer to similar precedents' judgments to inform their current decisions. Generating high-quality summaries of court judgment documents can facilitate leg…