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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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
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    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. ICML ’25 Workshop
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    Visual Instruction Bottleneck Tuning
    Changdae Oh, Jiatong Li, Shawn Im, and 1 more author
    Arxiv:2505.13946, 2025
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  5. Preprint
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    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
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    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
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    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
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    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
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    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
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    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
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    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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