Jiatong Li

According to our database, Jiatong Li authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

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

CoRR, May, 2025

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 38: 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 38: 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