Contact Information
2116 Siebel Center
201 N Goodwin
M/C 258
Urbana, IL 61801
Research Areas
Additional Campus Affiliations
Donald Biggar Willett Professor, Siebel School of Computing and Data Science
Donald Biggar Willett Faculty Scholar, Siebel School of Computing and Data Science
Professor, Siebel School of Computing and Data Science
Professor, Statistics
Professor, School of Information Sciences
Professor, Carl R. Woese Institute for Genomic Biology
Recent Publications
Balog, K., & Zhai, C. X. (2024). Tutorial on User Simulation for Evaluating Information Access Systems on the Web. In WWW 2024 Companion - Companion Proceedings of the ACM Web Conference (pp. 1254-1257). (WWW 2024 Companion - Companion Proceedings of the ACM Web Conference). Association for Computing Machinery. https://doi.org/10.1145/3589335.3641243
Bhavya, B., Sehgal, S., Xiong, J., & Zhai, C. X. (2024). AnaDE1.0: A Novel Data Set for Benchmarking Analogy Detection and Extraction. In Y. Graham, M. Purver, & M. Purver (Eds.), EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference (pp. 1723-1737). (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference; Vol. 1). Association for Computational Linguistics (ACL).
Gangi Reddy, R., Chandra, S., Bai, H., Yao, W., Sidhu, M., Aggarwal, K., Sonawane, P., & Zhai, C. (2024). CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations. In WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining (pp. 1050-1053). (WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining). Association for Computing Machinery. https://doi.org/10.1145/3616855.3635702
Ros, K., & Zhai, C. X. (2024). Scaling Collaborative Learning: Using the Community Digital Library to Enrich Course Content. In SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education (pp. 1798-1799). (SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education; Vol. 2). Association for Computing Machinery. https://doi.org/10.1145/3626253.3635583
Ros, K., Takwane, K., Patil, A., Jayaprakash, R., & Zhai, C. X. (2024). TextData: Save What You Know and Find What You Don't. In SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2806-2810). (SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657681