Balancing Test Accuracy and Security in Computerized Adaptive Testing. - Wanyong Feng; Aritra Ghosh 001; Stephen Sireci; Andrew S. Lan (AIED, 2023)

A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing. - Nischal Ashok Kumar; Wanyong Feng; Jaewook Lee 006; Hunter McNichols; Aritra Ghosh 001; Andrew S. Lan (EDM, 2023)

Exploring Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning. - Hunter McNichols; Wanyong Feng; Jaewook Lee 006; Alexander Scarlatos; Digory Smith; Simon Woodhead 002; Andrew S. Lan (CoRR, 2023)

Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank. - Alexander Scarlatos; Wanyong Feng; Andrew S. Lan; Simon Woodhead 002; Digory Smith (BEA, 2024)

DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions. - Nigel Fernandez; Alexander Scarlatos; Wanyong Feng; Simon Woodhead 002; Andrew S. Lan (EMNLP, 2024)

Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models. - Wanyong Feng; Jaewook Lee 006; Hunter McNichols; Alexander Scarlatos; Digory Smith; Simon Woodhead 002; Nancy Otero Ornelas; Andrew S. Lan (NAACL-HLT (Findings), 2024)

Reasoning and Sampling-Augmented MCQ Difficulty Prediction via LLMs. - Wanyong Feng; Peter Tran; Stephen Sireci; Andrew S. Lan (AIED (4), 2025)

From Text to Visuals: Using LLMs to Generate Math Diagrams with Vector Graphics. - Jaewook Lee; Jeongah Lee; Wanyong Feng; Andrew Lan (AIED (4), 2025)

From Text to Visuals: Using LLMs to Generate Math Diagrams with Vector Graphics. - Jaewook Lee; Jeongah Lee; Wanyong Feng; Andrew S. Lan (CoRR, 2025)