5 papers
ValiAssist: Scaling LLM-generated Programming Feedback Validation by Demonstration
Xiaohang Tang, Rehema Abulikemu, Peng Gao +1
Generative AI can create programming feedback at scale, but validating its alignment with instructors' pedagogical goals and strategies remains challenging. Instructors may struggl…
CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models
Zhu Cheng, Zhenming Wang, Yu +14
Product catalogs are the backbone of e-commerce sites, yet a large number of structured attributes (SAs) -- such as material, color, and shape -- often have missing values. Typical…
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…
SGSimEval: A Comprehensive Multifaceted and Similarity-Enhanced Benchmark for Automatic Survey Generation Systems
Beichen Guo, Zhiyuan Wen, Yu Yang +3
The growing interest in automatic survey generation (ASG), a task that traditionally required considerable time and effort, has been spurred by recent advances in large language mo…
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…