Publications
2025
LLM-based Automated Grading with Human-in-the-Loop
Hang Li*, Yucheng Chu*, Kaiqi Yang, Yasemin Copur-Gencturk, Jiliang Tang (* equal contribution)
IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2025
LLM-based Automated Grading with Human-in-the-Loop
Hang Li*, Yucheng Chu*, Kaiqi Yang, Yasemin Copur-Gencturk, Jiliang Tang (* equal contribution)
IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2025
Iterative LLM-Based Generation and Refinement of Distracting Conditions in Math Word Problems
Kaiqi Yang, Hang Li, Yucheng Chu, Zitao Liu, Mi Tian, Hui Liu
IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2025
Iterative LLM-Based Generation and Refinement of Distracting Conditions in Math Word Problems
Kaiqi Yang, Hang Li, Yucheng Chu, Zitao Liu, Mi Tian, Hui Liu
IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2025
Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions
Hang Li, Tianlong Xu, Kaiqi Yang, Yucheng Chu, Yanling Chen, Yichi Song, Qingsong Wen, Hui Liu
Annual Meeting of the Association for Computational Linguistics (ACL) 2025
Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions
Hang Li, Tianlong Xu, Kaiqi Yang, Yucheng Chu, Yanling Chen, Yichi Song, Qingsong Wen, Hui Liu
Annual Meeting of the Association for Computational Linguistics (ACL) 2025
2024
Are Large Language Models (LLMs) Good Social Predictors?
Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024
Are Large Language Models (LLMs) Good Social Predictors?
Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024
Spectral-Aware Augmentation for Enhanced Graph Representation Learning
Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu
ACM International Conference on Information and Knowledge Management (CIKM) 2024
Spectral-Aware Augmentation for Enhanced Graph Representation Learning
Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu
ACM International Conference on Information and Knowledge Management (CIKM) 2024
Content Knowledge Identification with Multi-Agent Large Language Models (LLMs)
Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
International Conference on Artificial Intelligence in Education (AIED) 2024
Content Knowledge Identification with Multi-Agent Large Language Models (LLMs)
Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
International Conference on Artificial Intelligence in Education (AIED) 2024
Preprints
2025
Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
Hang Li, Kaiqi Yang, Yucheng Chu, Hui Liu, Jiliang Tang
arXiv preprint arXiv:2509.22480 2025
Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
Hang Li, Kaiqi Yang, Yucheng Chu, Hui Liu, Jiliang Tang
arXiv preprint arXiv:2509.22480 2025
A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers
Kaiqi Yang*, Hang Li*, Yucheng Chu, Ahreum Han, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu (* equal contribution)
arXiv preprint arXiv:2507.05292 2025
A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers
Kaiqi Yang*, Hang Li*, Yucheng Chu, Ahreum Han, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu (* equal contribution)
arXiv preprint arXiv:2507.05292 2025
Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation
Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik, Jiliang Tang
arXiv preprint arXiv:2504.05276 2025
Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation
Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik, Jiliang Tang
arXiv preprint arXiv:2504.05276 2025
2024
Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models
Kaiqi Yang, Hang Li, Yucheng Chu, Yuping Lin, Tai-Quan Peng, Hui Liu
arXiv preprint arXiv:2412.16746 2024
Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models
Kaiqi Yang, Hang Li, Yucheng Chu, Yuping Lin, Tai-Quan Peng, Hui Liu
arXiv preprint arXiv:2412.16746 2024
Exploring Social Desirability Response Bias in Large Language Models: Evidence from GPT-4 Simulations
Sanguk Lee*, Kaiqi Yang*, Tai-Quan Peng, Ruth Heo, Hui Liu (* equal contribution)
arXiv preprint arXiv:2410.15442 2024
Exploring Social Desirability Response Bias in Large Language Models: Evidence from GPT-4 Simulations
Sanguk Lee*, Kaiqi Yang*, Tai-Quan Peng, Ruth Heo, Hui Liu (* equal contribution)
arXiv preprint arXiv:2410.15442 2024
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization
Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Hui Liu, Yasemin Copur-Gencturk, Jiliang Tang
arXiv preprint arXiv:2410.02165 2024
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization
Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Hui Liu, Yasemin Copur-Gencturk, Jiliang Tang
arXiv preprint arXiv:2410.02165 2024