publications

2026

1. AAAI

   

   LOOM: Personalized Learning Informed by Daily LLM Conversations Toward Long-Term Mastery via a Dynamic Learner Memory Graph

   J. Cui, K. Pu, and T. Grossman

   In PerFM @ AAAI, 2026

   Bib PDF Code

   @inproceedings{cui2026loom,
     title = {LOOM: Personalized Learning Informed by Daily LLM Conversations Toward Long-Term Mastery via a Dynamic Learner Memory Graph},
     author = {Cui, J. and Pu, K. and Grossman, T.},
     booktitle = {PerFM @ AAAI},
     year = {2026},
     url = {https://arxiv.org/abs/2511.21037},
   }

2. ACL

   

   Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments

   Y. Liu^*, Q. Wen^*, J. Liang^*, M. Zhao^*, J. Cui, A. Korikov, A. Toroghi, J. Kim, and S. Sanner

   * denotes equal contribution

   In Findings of the Association for Computational Linguistics: ACL 2026, 2026

   Bib PDF

   @inproceedings{liu2026multimodal,
     title = {Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments},
     author = {Liu, Y. and Wen, Q. and Liang, J. and Zhao, M. and Cui, J. and Korikov, A. and Toroghi, A. and Kim, J. and Sanner, S.},
     booktitle = {Findings of the Association for Computational Linguistics: ACL 2026},
     year = {2026},
     pages = {36859--36876},
     url = {https://aclanthology.org/2026.findings-acl.1836/},
   }

3. ACL

   Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval

   J. Kim, A. Korikov, J. Liang, J. Cui, Y. Liu, Q. Wen, M. Zhao, and S. Sanner

   In Findings of the Association for Computational Linguistics: ACL 2026, 2026

   Bib PDF

   @inproceedings{kim2026bayesian,
     title = {Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval},
     author = {Kim, J. and Korikov, A. and Liang, J. and Cui, J. and Liu, Y. and Wen, Q. and Zhao, M. and Sanner, S.},
     booktitle = {Findings of the Association for Computational Linguistics: ACL 2026},
     year = {2026},
     pages = {9884--9898},
     url = {https://aclanthology.org/2026.findings-acl.481/},
   }

4. ICLR

   

   CauSciBench: A Comprehensive Benchmark on End-to-End Causal Inference for Scientific Research

   S. Acharya, T. J. Zhang, A. Kim, A. Haghighat, S. Xianlin, P. Cobben, R. B. Shrestha, M. Mordig, J. T. Emmerson, F. Danisman, Y. Chen, C. Jose, A. I. Muresanu, J. Cui, J. Liu, Y. Qi, P. S. Pandey, Y. Huang, B. Schölkopf, M. Sachan, and Z. Jin

   In International Conference on Learning Representations (ICLR), 2026

   Bib PDF

   @inproceedings{acharya2026causcibench,
     title = {CauSciBench: A Comprehensive Benchmark on End-to-End Causal Inference for Scientific Research},
     author = {Acharya, S. and Zhang, T. J. and Kim, A. and Haghighat, A. and Xianlin, S. and Cobben, P. and Shrestha, R. B. and Mordig, M. and Emmerson, J. T. and Danisman, F. and Chen, Y. and Jose, C. and Muresanu, A. I. and Cui, J. and Liu, J. and Qi, Y. and Pandey, P. S. and Huang, Y. and Schölkopf, B. and Sachan, M. and Jin, Z.},
     booktitle = {International Conference on Learning Representations (ICLR)},
     year = {2026},
     url = {https://openreview.net/forum?id=uQzPkWvTyo},
   }

2025

1. arXiv

   

   A Simple but Effective Elaborative Query Reformulation Approach for Natural Language Recommendation

   Q. Wen^*, Y. Liu^*, J. Cui^*, J. Zhang, A. Korikov, G. K. Saad, and S. Sanner

   * denotes equal contribution

   arXiv preprint arXiv:2510.02656, 2025

   Bib PDF

   @article{wen2025elaborative,
     title = {A Simple but Effective Elaborative Query Reformulation Approach for Natural Language Recommendation},
     author = {Wen, Q. and Liu, Y. and Cui, J. and Zhang, J. and Korikov, A. and Saad, G. K. and Sanner, S.},
     journal = {arXiv preprint arXiv:2510.02656},
     year = {2025},
     url = {https://arxiv.org/abs/2510.02656},
   }

2024

1. SIGIR

   

   Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking

   S. Kemper^*, J. Cui^*, K. Dicarlantonio^*, K. Lin^*, D. Tang^*, A. Korikov, and S. Sanner

   * denotes equal contribution

   In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

   Bib PDF Code

   @inproceedings{kemper2024retrieval,
     title = {Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking},
     author = {Kemper, S. and Cui, J. and Dicarlantonio, K. and Lin, K. and Tang, D. and Korikov, A. and Sanner, S.},
     booktitle = {Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval},
     year = {2024},
     url = {https://arxiv.org/pdf/2406.00033},
   }

2023

1. LINHAC

   

   Comparing Defensive Pressures Using Possession Retention Probability and Expected Goals

   JW David Awosoga^*, Justin Cui^*, Aujin Li^*, Jaden Majumdar^*, and Junhao Wang^*

   * denotes equal contribution

   In 2023 Linköping Hockey Analytics Conference, 2023

   Bib PDF

   @inproceedings{awosoga2023comparing,
     title = {Comparing Defensive Pressures Using Possession Retention Probability and Expected Goals},
     author = {Awosoga, JW David and Cui, Justin and Li, Aujin and Majumdar, Jaden and Wang, Junhao},
     booktitle = {2023 Linköping Hockey Analytics Conference},
     year = {2023},
     url = {https://www.ida.liu.se/research/sportsanalytics/LINHAC/LINHAC23/papers/paper-students-Waterloo-Toronto.pdf},
   }