Contact Information
2116 Siebel Center
201 N Goodwin
M/C 258
Urbana, IL 61801
Research Areas
Additional Campus Affiliations
Professor, Computer Science
Donald Biggar Willett Faculty Scholar, Computer Science
Professor, Statistics
Professor, School of Information Sciences
Professor, Carl R. Woese Institute for Genomic Biology
Donald Biggar Willett Professor, Computer Science
Recent Publications
Balog, K., & Zhai, C. X. (2023). Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond. In SIGIR-AP 2023 - Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (pp. 302-305). (SIGIR-AP 2023 - Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region). Association for Computing Machinery. https://doi.org/10.1145/3624918.3629549
Balog, K., & Zhai, C. X. (2023). Tutorial on User Simulation for Evaluating Information Access Systems. In CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (pp. 5200-5203). (International Conference on Information and Knowledge Management, Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3583780.3615296
Bhavya, B., Xiong, J., & Zhai, C. (2023). CAM: A Large Language Model-based Creative Analogy Mining Framework. In ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023 (pp. 3903-3914). (ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023). Association for Computing Machinery. https://doi.org/10.1145/3543507.3587431
Campos, D., Marques, A., Kurtz, M., & Zhai, C. X. (2023). OBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes. In N. S. Moosavi, I. Gurevych, Y. Hou, G. Kim, J. K. Young, T. Schuster, & A. Agrawal (Eds.), 4th Workshop on Simple and Efficient Natural Language Processing, SustaiNLP 2023 - Proceedings of the Workshop (pp. 39-58). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics (ACL).
Campos, D., Magnani, A., & Zhai, C. X. (2023). Quick Dense Retrievers Consume KALE: Post Training Kullback.Leibler Alignment of Embeddings for Asymmetrical dual encoders. In N. S. Moosavi, I. Gurevych, Y. Hou, G. Kim, J. K. Young, T. Schuster, & A. Agrawal (Eds.), 4th Workshop on Simple and Efficient Natural Language Processing, SustaiNLP 2023 - Proceedings of the Workshop (pp. 59-77). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics (ACL).