Kaiqi Yang

According to our database, Kaiqi Yang authored at least 21 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, March, 2026

Optimizing In-Context Demonstrations for LLM-based Automated Grading.

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

CoRR, March, 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

CoRR, March, 2026

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

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

CoRR, February, 2026

i-vip: A LLM-Driven Multi-agent System for Professional Development of Mathematics Teachers.

Hang Li, Kaiqi Yang, Yucheng Chu, Ahreum Han, Rui Meng, Yasemin Copur-Gencturk, Hui Liu

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

Optimizing In-Context Demonstrations for LLM-Based Automated Grading.

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

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

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

CoRR, October, 2025

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

Hang Li, Kaiqi Yang, Yucheng Chu, Hui Liu, Jiliang Tang

CoRR, September, 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

CoRR, July, 2025

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

Hang Li, Yucheng Chu, Kaiqi Yang, Yasemin Copur-Gencturk, Jiliang Tang

CoRR, April, 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

Proceedings of the 18th International Conference on Educational Data Mining, 2025

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

Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Yasemin Copur-Gencturk, Leonora Kaldaras, Kevin C. Haudek, Joseph Krajcik, Namsoo Shin, Hui Liu, Jiliang Tang

Proceedings of the 18th International Conference on Educational Data Mining, 2025

Bringing Generative Artificial Intelligence (GenAI) to Education.

Hang Li, Kaiqi Yang, Yucheng Chu, Jiliang Tang

Proceedings of the 18th International Conference on Educational Data Mining, 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Unpacking Political Bias in Large Language Models: Insights Across Topic Polarization.

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

CoRR, 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

CoRR, 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

CoRR, 2024

Are Large Language Models (LLMs) Good Social Predictors?

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Spectral-Aware Augmentation for Enhanced Graph Representation Learning.

Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 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

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation.

Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu

CoRR, 2023