Preprint

  • Shomee, H. H., Chaturvedi, R., Xie, Y., and Mallick, T. SCORE: Specificity, Context Utilization, Robustness, and Relevance for Reference-Free LLM Evaluation. [Link]
  • Alcala, J., Andreeva, R., Kobzar, V. A., Mixon, D. G., Na, S., Sule, S., and Xie, Y. Neural Collapse in the Orthoplex Regime. [Link]
  • Xie, Y. and Bhattacharya, B.B. Joint Poisson Convergence of Monochromatic Hyperedges in Multiplex Hypergraphs. [Link]
  • Baptista, R., O’Reilly, E., and Xie, Y. TrIM: Transformed Iterative Mondrian Forests for Gradient-based Dimension Reduction and High-Dimensional Regression. [Link] [Code]

2026

  • Xie, Y., Wang, T., Mallick, S., Sun, Y., Noarov, G., Yu, M., Mallick, T., Su, W. J., and Dobriban, E. Statistical Early Stopping for Reasoning Models. Accepted at International Conference on Machine Learning (ICML 2026). [Link]
  • Xie, Y., Chen, X., Ren, Z., and Su, W.J. Watermark in the Classroom: A Conformal Framework for Adaptive AI Usage Detection. Harvard Data Science Review (HDSR). [Link]

2025

  • Noarov, G., Mallick, S., Wang, T., Joshi, S., Sun, Y., Xie, Y., Yu, M., and Dobriban, E. Foundations of Top-k Decoding for Language Models. In Advances in Neural Information Processing Systems 38 (NeurIPS 2025). [Link] [arXiv]
  • Xie, Y., Li, X., Mallick, T., Su, W. J., and Zhang, R. Debiasing Watermarks for Large Language Models via Maximal Coupling. Journal of the American Statistical Association (JASA), 120(551), 1424-1436. [Link] [Code]
  • Xie, Y., Jiang, B., Mallick, T., Bergerson, J., Hutchison, J.K., Verner, D.R., Branham, J., Alexander, M.R., Ross, R.B., Feng, Y., and Levy, L.A. MARSHA: Multi-agent RAG System for Hazard Adaptation. npj Climate Action, 4(1), p.70. [Link] [Code]
  • Jiang, B., Xie, Y., Wang, X., Yuan, Y., Hao, Z., Bai, X., Su, W. J., Taylor, C. J., and Mallick, T. Towards Rationality in Language and Multimodal Agents: A Survey. In Proceedings of the 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). [Link]
  • Tolnai, B. A., Zimmermann, R. S., Xie, Y., Tran, N., Çeliker, C. E., Ma, Z. G., Sartori, I., Amos, M., Bengtsson, G., Lien, S. K., Miller, C., Hameed, A., and Jørgensen, B. N. Advancing Non-intrusive Load Monitoring: Insights from the Winning Algorithms in the ADRENALIN 2024 Load Disaggregation Competition. In Nordic Energy Informatics Academy Conference, pp. 338-354. Springer Nature Switzerland. [Link]
  • de Rijke, M., van den Hurk, B., Salim, F., Al Khourdajie, A., Bai, N., Calzone, R., Curran, D., Demil, G., Frew, L., Gießing, N., Gupta, M. K., Heuss, M., Hobeichi, S., Huard, D., Kang, J., Lucic, A., Mallick, T., Nath, S., Okem, A., Pernici, B., Rajapakse, T., Saleem, H., Scells, H., Schneider, N., Spina, D., Tian, Y., Totin, E., Trotman, A., Valavandan, R., Workneh, D., Xie, Y. Report on the 1st Workshop on Information Retrieval for Climate Impact (MANILA24) at SIGIR 2024. ACM SIGIR Forum, 59(1), 1-23. [Link] [arXiv]

2024

  • Jiang, B., Xie, Y., Hao, Z., Wang, X., Taylor, C. J., Su, W. J., Mallick, T. and Roth, D. A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP). [Link][Code]

2023

  • Krenn, M., Buffoni, L., Coutinho, B., Eppel, S., Foster, J.G., Gritsevskiy, A., Lee, H., Lu, Y., Moutinho, J.P., Sanjabi, N., Sonthalia, R., Tran, N., Valente, F., Xie, Y., Yu, R., and Kopp, M. Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nature Machine Intelligence, pp.1-10. [Link].

2022

  • Sun, A.Y., Jiang, P., Yang, Z.L., Xie, Y. and Chen, X. A graph neural network (GNN) approach to basin-scale river network learning: the role of physics-based connectivity and data fusion. Hydrology and Earth System Sciences, 26(19), pp.5163-5184. [Link].

2021

  • Tran NM, Xie, Y. Improving random walk rankings with feature selection and imputation. In 2021 IEEE International Conference on Big Data (Big Data) 2021 Dec 15 (pp. 5824-5827). IEEE. [Link].
  • Xie, Y., Kulpanowski, D., Ong, J., Nikolova, E., Tran, NM. Predicting Covid-19 emergency medical service incidents from daily hospitalization trends. Int J Clin Pract. 2021; 00:e14920. doi:10.1111/ijcp.14920 [Link].
  • Xie, Y. On 2 × 2 Tropical Commuting Matrices. Linear Algebra and its Applications, 620, 92-108. [Link].