Publications

2026

A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers

A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers

Kaiqi Yang*, Hang Li*, Yucheng Chu, Ahreum Han, Yasemin Copur-Gencturk, Hui Liu (* equal contribution)

The 27th International Conference on Artificial Intelligence in Education (AIED) , 2026

A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers

Kaiqi Yang*, Hang Li*, Yucheng Chu, Ahreum Han, Yasemin Copur-Gencturk, Hui Liu (* equal contribution)

The 27th International Conference on Artificial Intelligence in Education (AIED) , 2026

Optimizing In-Context Demonstrations for LLM-based Automated Grading

Optimizing In-Context Demonstrations for LLM-based Automated Grading

Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Kevin Haudek, Joseph Krajcik, Jiliang Tang

The 27th International Conference on Artificial Intelligence in Education (AIED) , 2026

Optimizing In-Context Demonstrations for LLM-based Automated Grading

Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Kevin Haudek, Joseph Krajcik, Jiliang Tang

The 27th International Conference on Artificial Intelligence in Education (AIED) , 2026

From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG

From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG

Yucheng Chu, Haoyu Han, Shen Dong, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Hui Liu

The 19th International Conference on Educational Data Mining (EDM) , 2026

From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG

Yucheng Chu, Haoyu Han, Shen Dong, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Hui Liu

The 19th International Conference on Educational Data Mining (EDM) , 2026

Confusion-Aware Rubric Optimization for LLM-based Automated Grading

Confusion-Aware Rubric Optimization for LLM-based Automated Grading

Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Jiliang Tang

The 19th International Conference on Educational Data Mining (EDM) , 2026

Confusion-Aware Rubric Optimization for LLM-based Automated Grading

Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Jiliang Tang

The 19th International Conference on Educational Data Mining (EDM) , 2026

Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models

Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models

Tai-Quan Peng, Kaiqi Yang, Sanguk Lee, Hang Li, Yucheng Chu, Yuping Lin, Hui Liu

Journal of Information Technology & Politics (by Routledge, on behalf of the American Political Science Association) , 2026

[Paper] [Code] [Preprint]

Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models

Tai-Quan Peng, Kaiqi Yang, Sanguk Lee, Hang Li, Yucheng Chu, Yuping Lin, Hui Liu

Journal of Information Technology & Politics (by Routledge, on behalf of the American Political Science Association) , 2026

[Paper] [Code] [Preprint]

2025

Iterative LLM-Based Generation and Refinement of Distracting Conditions in Math Word Problems

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

[Paper] [Preprint]

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

[Paper] [Preprint]

LLM-based Automated Grading with Human-in-the-Loop

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

[Paper] [Preprint]

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

[Paper] [Preprint]

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions

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

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL) , 2025

[Paper] [Preprint]

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

The 63rd Annual Meeting of the Association for Computational Linguistics (ACL) , 2025

[Paper] [Preprint]

Bringing Generative Artificial Intelligence (GenAI) to Education

Bringing Generative Artificial Intelligence (GenAI) to Education

Hang Li, Kaiqi Yang, Yucheng Chu, Jiliang Tang

Tutorial in the 18th Educational Data Mining Conference (EDM) , 2025

[Paper] [Tutorial]

Bringing Generative Artificial Intelligence (GenAI) to Education

Hang Li, Kaiqi Yang, Yucheng Chu, Jiliang Tang

Tutorial in the 18th Educational Data Mining Conference (EDM) , 2025

[Paper] [Tutorial]

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization

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

The 18th International Conference on Educational Data Mining (EDM) , 2025

[Paper] [Preprint]

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

The 18th International Conference on Educational Data Mining (EDM) , 2025

[Paper] [Preprint]

2024

Are Large Language Models (LLMs) Good Social Predictors?

Are Large Language Models (LLMs) Good Social Predictors?

Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu

The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2024

[Paper] [Preprint] [Code]

Are Large Language Models (LLMs) Good Social Predictors?

Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu

The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2024

[Paper] [Preprint] [Code]

Content Knowledge Identification with Multi-Agent Large Language Models (LLMs)

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

The 25th International Conference on Artificial Intelligence in Education (AIED) , 2024

[Paper] [Preprint]

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

The 25th International Conference on Artificial Intelligence in Education (AIED) , 2024

[Paper] [Preprint]

2023

Spectral-Aware Augmentation for Enhanced Graph Representation Learning

Spectral-Aware Augmentation for Enhanced Graph Representation Learning

Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu

The 33rd ACM International Conference on Information and Knowledge Management (CIKM) , 2024

[Paper] [Preprint] [Code]

Spectral-Aware Augmentation for Enhanced Graph Representation Learning

Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu

The 33rd ACM International Conference on Information and Knowledge Management (CIKM) , 2024

[Paper] [Preprint] [Code]

Preprints

2026

How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment

How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment

Kaiqi Yang*, Hang Li*, Xianxuan Long, Fedor Filippov, Yucheng Chu, Yasemin Copur-Gencturk, Peng He, Cory Miller, Namsoo Shin, Joseph Krajcik, Hui Liu, Jiliang Tang (* equal contribution)

arXiv preprint arXiv:2602.16039 , 2026

How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment

Kaiqi Yang*, Hang Li*, Xianxuan Long, Fedor Filippov, Yucheng Chu, Yasemin Copur-Gencturk, Peng He, Cory Miller, Namsoo Shin, Joseph Krajcik, Hui Liu, Jiliang Tang (* equal contribution)

arXiv preprint arXiv:2602.16039 , 2026

2025

Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving

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

Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation

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

Exploring Social Desirability Response Bias in Large Language Models: Evidence from GPT-4 Simulations

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

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