4 papers
EDU-CIRCUIT-HW: Evaluating Multimodal Large Language Models on Real-World University-Level STEM Student Handwritten Solutions
Weiyu Sun, Liangliang Chen, Yongnuo Cai +3
Multimodal Large Language Models (MLLMs) hold significant promise for revolutionizing traditional education and reducing teachers' workload. However, accurately interpreting uncons…
Enhancing Large Language Model-Based Systems for End-to-End Circuit Analysis Problem Solving
Liangliang Chen, Weiyu Sun, Huiru Xie +2
LLMs have demonstrated strong performance in data-rich domains such as programming, yet their reliability in engineering tasks remains limited. Circuit analysis--requiring multimod…
Enhancing Large Language Models for Automated Homework Assessment in Undergraduate Circuit Analysis
Liangliang Chen, Huiru Xie, Zhihao Qin +3
This research full paper presents an enhancement pipeline for large language models (LLMs) in assessing homework for an undergraduate circuit analysis course, aiming to improve LLM…
WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis
Liangliang Chen, Huiru Xie, Jacqueline Rohde +1
This research-to-practice work-in-progress (WIP) paper presents an AI-enabled smart tutor designed to provide homework assessment and feedback for students in an undergraduate circ…