Kaiqi Yang

23 papers A 1B 3Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Confusion-Aware Rubric Optimization for LLM-based Automated Grading.
CoRR
Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Jiliang Tang
2026 J jnl
From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG.
CoRR
Yucheng Chu, Haoyu Han, Shen Dong, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Hui Liu
2026 J jnl
How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment.
CoRR
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
2026 J jnl
Optimizing In-Context Demonstrations for LLM-based Automated Grading.
CoRR
Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Kevin C. Haudek, Joseph Krajcik, Jiliang Tang
2025 J jnl
A LLM-Driven Multi-Agent Systems for Professional Development of Mathematics Teachers.
CoRR
Kaiqi Yang, Hang Li, Yucheng Chu, Ahreum Han, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
2025 B conf
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization.
EDM
Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Yasemin Copur-Gencturk, Leonora Kaldaras, Kevin C. Haudek, Joseph Krajcik, Namsoo Shin, Hui Liu, Jiliang Tang
2025 — conf
Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions.
ACL (1)
Hang Li, Tianlong Xu, Kaiqi Yang, Yucheng Chu, Yanling Chen, Yichi Song, Qingsong Wen, Hui Liu
2025 B conf
Bringing Generative Artificial Intelligence (GenAI) to Education.
EDM
Hang Li, Kaiqi Yang, Yucheng Chu, Jiliang Tang
2025 B conf
Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation.
EDM
Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik, Jiliang Tang
2025 J jnl
Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation.
CoRR
Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik, Jiliang Tang
2025 J jnl
Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving.
CoRR
Hang Li, Kaiqi Yang, Yucheng Chu, Hui Liu, Jiliang Tang
2025 J jnl
Iterative LLM-Based Generation and Refinement of Distracting Conditions in Math Word Problems.
CoRR
Kaiqi Yang, Hang Li, Yucheng Chu, Zitao Liu, Mi Tian, Hui Liu
2025 J jnl
LLM-based Automated Grading with Human-in-the-Loop.
CoRR
Hang Li, Yucheng Chu, Kaiqi Yang, Yasemin Copur-Gencturk, Jiliang Tang
2024 J jnl
A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization.
CoRR
Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Hui Liu, Yasemin Copur-Gencturk, Jiliang Tang
2024 — conf
Are Large Language Models (LLMs) Good Social Predictors?
EMNLP (Findings)
Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu
2024 J jnl
Are Large Language Models (LLMs) Good Social Predictors?
CoRR
Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu
2024 J jnl
Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions.
CoRR
Hang Li, Tianlong Xu, Kaiqi Yang, Yucheng Chu, Yanling Chen, Yichi Song, Qingsong Wen, Hui Liu
2024 J jnl
Content Knowledge Identification with Multi-Agent Large Language Models (LLMs).
CoRR
Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
2024 — conf
Content Knowledge Identification with Multi-agent Large Language Models (LLMs).
AIED (2)
Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
2024 J jnl
Exploring Social Desirability Response Bias in Large Language Models: Evidence from GPT-4 Simulations.
CoRR
Sanguk Lee, Kaiqi Yang, Tai-Quan Peng, Ruth Heo, Hui Liu
2024 A conf
Spectral-Aware Augmentation for Enhanced Graph Representation Learning.
CIKM
Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu
2024 J jnl
Unpacking Political Bias in Large Language Models: Insights Across Topic Polarization.
CoRR
Kaiqi Yang, Hang Li, Yucheng Chu, Yuping Lin, Tai-Quan Peng, Hui Liu
2023 J jnl
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation.
CoRR
Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu