Kaiqi Yang

According to our database, Kaiqi Yang authored at least 13 papers between 2023 and 2025.

Collaborative distances:

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

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