Jiatong Li

According to our database, Jiatong Li authored at least 18 papers between 2022 and 2026.

Collaborative distances:

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

2026

Toward Fair and Efficient Intelligent Learning: A Generative Cognitive Diagnosis Approach.

Jiatong Li, Yingying Ni, Minjuan Wang, John Chi-Kin Lee, Qi Liu, Mengxiao Zhu, Zhenya Huang, Shijin Wang, Enhong Chen

IEEE Trans. Learn. Technol., 2026

Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts?

Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yitong Zhou, Yuting Zeng, Qi Liu, Tongxuan Liu

Proceedings of the ACM Web Conference 2026, 2026

From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs.

Yuxiang Guo, Yan Zhuang, Qi Liu, Zhenya Huang, Xianquan Wang, Liyang He, Jiatong Li, Rui Li, Shijin Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Efficient Benchmarking via Bias-Bounded Subset Selection.

Yan Zhuang, Junhao Yu, Qi Liu, Yuxuan Sun, Jiatong Li, Zhenya Huang, Enhong Chen

IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

Generative Cognitive Diagnosis.

Jiatong Li, Qi Liu, Mengxiao Zhu

CoRR, July, 2025

Are LLMs Reliable Translators of Logical Reasoning Across Lexically Diversified Contexts?

Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yuting Zeng, Qi Liu, Tongxuan Liu

CoRR, June, 2025

am-ELO: A Stable Framework for Arena-based LLM Evaluation.

Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning.

Rui Lv, Qi Liu, Weibo Gao, Jiatong Li, Kai Zhang, Shiwei Tong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic Approach.

Qingchuan Li, Jiatong Li, Tongxuan Liu, Yuting Zeng, Mingyue Cheng, Weizhe Huang, Qi Liu

CoRR, 2024

A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions.

Fei Wang, Weibo Gao, Qi Liu, Jiatong Li, Guanhao Zhao, Zheng Zhang, Zhenya Huang, Mengxiao Zhu, Shijin Wang, Wei Tong, Enhong Chen

CoRR, 2024

Survey of Computerized Adaptive Testing: A Machine Learning Perspective.

Qi Liu, Yan Zhuang, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen

CoRR, 2024

Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm.

Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Fangzhou Yao, Linbo Zhu, Yu Su

Proceedings of the ACM on Web Conference 2024, 2024

Computerized Adaptive Testing via Collaborative Ranking.

Zirui Liu, Yan Zhuang, Qi Liu, Jiatong Li, Yuren Zhang, Zhenya Huang, Jinze Wu, Shijin Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations.

Jiatong Li, Renjun Hu, Kunzhe Huang, Yan Zhuang, Qi Liu, Mengxiao Zhu, Xing Shi, Wei Lin

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling.

Fangzhou Yao, Qi Liu, Linan Yue, Weibo Gao, Jiatong Li, Xin Li, Yuanjing He

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling.

Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Kai Zhang, Rui Li, Jiatong Li, Min Gao

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance.

Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Enhong Chen

CoRR, 2023

2022

HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework.

Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022