Papers by Zhangqi Duan
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP (2024.findings-emnlp)
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Zonghai Yao, Nandyala Siddharth Kantu, Guanghao Wei, Hieu Tran, Zhangqi Duan, Sunjae Kwon, Zhichao Yang, Hong Yu
| Challenge: | a new task is to generate lay definitions of medical terms in EHRs that are difficult to understand for patients. |
| Approach: | They propose a task of automatically generating lay definitions to simplify medical terms into patient-friendly lay language. |
| Outcome: | The proposed model can match or surpass state-of-the-art closed-source large language models like ChatGPT with high-quality data. |
Automated Knowledge Component Generation and Interpretable Knowledge Tracing in Coding Problems (2026.findings-acl)
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Zhangqi Duan, Nigel Fernandez, Arun Balajiee Lekshmi Narayanan, Mohammad Hassany, Rafaella Sampaio de Alencar, Peter Brusilovsky, Bita Akram, Andrew Lan
| Challenge: | Existing solutions to automate KC generation and tagging for open-ended programming problems are highly labor-intensive and prone to bias and errors. |
| Approach: | They propose an automated pipeline for KC generation and tagging for open-ended programming problems using large language models. |
| Outcome: | The proposed method outperforms existing ones and outperfies human-written KCs on future student response prediction. |
KASER: Knowledge-Aligned Student Error Simulator for Open-Ended Coding Tasks (2026.acl-long)
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| Challenge: | coding tasks that provide detailed insights into student knowledge are challenging to train . open-ended tasks often suffer from mode collapse and fail to capture student errors . |
| Approach: | They propose a method that aligns errors with student knowledge by using a hybrid reward system. |
| Outcome: | The proposed method outperforms baselines on code and error prediction and error coverage and simulated code diversity on two real-world datasets. |