Publications

2026

1. Preprint

   

   Thinking Makes LLM Agents Introverted: How Mandatory Thinking Can Backfire in User-Engaged Agents

   Jiatong Li, Changdae Oh, Hyeong Kyu Choi, and 2 more authors

   Arxiv:2602.07796, 2026

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2. Preprint

   Towards Reducible Uncertainty Modeling for Reliable Large Language Model Agents

   Changdae Oh, Seongheon Park, To Eun Kim, and 8 more authors

   Arxiv:2602.05073, 2026

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3. WWW ’26

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

   Qingchuan Li, Jiatong Li, Zirui Liu, and 5 more authors

   In Proceedings of the ACM Web Conference 2026, 2026
4. IEEE TLT

   Towards Fair and Efficient Intelligent Learning: A Generative Cognitive Diagnosis Approach

   Jiatong Li, Yingying Ni, Minjuan Wang, and 6 more authors

   IEEE Transactions on Learning Technologies, 2026
5. AAAI ’26

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

   Yuxiang Guo, Yan Zhuang, Qi Liu, and 6 more authors

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2026
6. ICLR ’26

   Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models

   Zhaoyi Li, Jiatong Li, Gangwei Jiang, and 3 more authors

   arXiv preprint arXiv:2601.21214, 2026
7. ICLR ’26

   Fewer Battles, More Gain: An Information-Efficient Framework for Arena-based LLM Evaluation

   Zirui Liu, Xianquan Wang, Yan Zhuang, and 5 more authors

   In The Fourteenth International Conference on Learning Representations, 2026

2025

1. TPAMI

   Efficient Benchmarking via Bias-Bounded Subset Selection

   Yan Zhuang, Junhao Yu, Qi Liu, and 4 more authors

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

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2. EMNLP ’25 Finding

   Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification

   Yifei Yuan, Jiatong Li, Weijia Zhang, and 3 more authors

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

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3. ICML ’25

   

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

   Zirui Liu, Jiatong Li, Yan Zhuang, and 5 more authors

   In Forty-second International Conference on Machine Learning, 2025

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4. NeurIPS ’25

   

   Visual Instruction Bottleneck Tuning

   Changdae Oh, Jiatong Li, Shawn Im, and 1 more author

   Arxiv:2505.13946, 2025

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5. Preprint

   

   Generative Cognitive Diagnosis

   Jiatong Li, Qi Liu, and Mengxiao Zhu

   Arxiv:2507.09831, 2025

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6. preprint

   Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression

   Jingyu Peng, Maolin Wang, Nan Wang, and 4 more authors

   Arxiv:2505.13527, 2025

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2024

1. Preprint

   

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

   Qingchuan Li, Jiatong Li, Tongxuan Liu, and 4 more authors

   Arxiv:2410.21779, 2024

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2. NeurIPS ’24

   

   PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations (Spotlight)

   Jiatong Li, Renjun Hu, Kunzhe Huang, and 5 more authors

   In Advances in Neural Information Processing Systems, 2024

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3. NeurIPS ’24

   

   Computerized Adaptive Testing via Collaborative Ranking

   Zirui Liu, Yan Zhuang, Qi Liu, and 5 more authors

   In Advances in Neural Information Processing Systems, 2024
4. WWW ’24

   

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

   Jiatong Li, Qi Liu, Fei Wang, and 5 more authors

   In Proceedings of the ACM Web Conference 2024, 2024

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5. KDD ’24

   AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling

   Fangzhou Yao, Qi Liu, Linan Yue, and 4 more authors

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

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6. Preprint

   Survey of Computerized Adaptive Testing: A Machine Learning Perspective

   Qi Liu, Yan Zhuang, Haoyang Bi, and 12 more authors

   Arxiv:2404.00712, 2024

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7. Preprint

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

   Fei Wang, Weibo Gao, Qi Liu, and 8 more authors

   Arxiv:2407.05458, 2024

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8. DASFAA ’24

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

   Junzhe Jiang, Shang Qu, Mingyue Cheng, and 8 more authors

   Arxiv:2309.10435, 2024

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2023

1. Preprint

   

   Beyond Static Datasets: A Deep Interaction Approach to LLM Evaluation

   Jiatong Li, Rui Li, and Qi Liu

   Arxiv:2309.04369, 2023

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2022

1. KDD ’22

   

   HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework

   Jiatong Li, Fei Wang, Qi Liu, and 6 more authors

   In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022

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