UF Data Studio Publications

2025

Zoey Liu, Masoud Jasbi, Christan Grant, Kenji Sagae, Emily Prud'hommeaux. What data should I include in my POS tagging training set? In the Proceedings of the 2025 Conference of Findings on Empirical Methods in Natural Language Processing (EMNLP). Suzhou, China. 2025.
📕

Sadaf MD Halim, Chen Zhao, Xintao Wu, Latifur Khan, Christan Grant, Fariha Ishrat Rahman, Feng Chen. Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL). Vienna, Austria. 2025.
📕 pdf | slides | poster | bib

Sadaf MD Halim, Chen Zhao, Xintao Wu, Latifur Khan, Christan Earl Grant, Feng Chen. Fairness-Aware Active Online Learning with Changing Environments. In the Proceedings of the 41st IEEE International Conference on Data Engineering (ICDE). Hong Kong SAR, China. 2025.
📕 bib

Yang Bai, Christan Grant, Daisy Zhe Wang. RAMQA: Retrieval-Augmented Multilingual Question Answering Via Language-Agnostic Embedding-Based Reranking. Findings of the Association for Computational Linguistics (NAACL). Albuquerque, New Mexico. 2025.
🎒 pdf | arXiv | bib

2024

Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Earl Grant, Feng Chen. Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously. In the Proceedings of the 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). Barcelona, Spain. 2024.
📕 video | bib

Alexander R. Webber, Zachary Sayers, Amy Wu, Elizabeth Thorner, Justin Witter, Gabriel Ayoubi, Christan Grant. Analyzing Finetuned Vision Models for Mixtec Codex Interpretation. The 4th Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP). Mexico City, Mexico. 2024.
🎒 pdf | poster | bib

Yang Bai, Anthony Colas, Christan Grant, Daisy Zhe Wang. M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval. The Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING). Torino, Italy. 2024.
📕 code | bib

Amy Wu, Morgan Cobb, Victor Perez, Christan Grant, Jeremy Waisome. Guided Undergraduate Training for Shark Segmentation (GUTSS). A Poster in the 55th ACM Technical Symposium on Computer Science Education (SIGSCE). Portland, Oregon. 2024.
📜 pdf | bib

2023

Chenguang Xu, Sarah M Brown, Christan Grant, Chris Weaver. Hybrid Tree Visualizations for Analysis of Gerrymandering. International Symposium on Visual Computing (ISVC). Lake Tahoe, NV, USA. 2023.
📕 pdf | slides | bib

Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen. Towards Fair Disentangled Online Learning for Changing Environments. In the Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). Long Beach, CA. 2023.
📕 pdf | video | bib

Yan Liang, Christan Grant. TAED: Topic-Aware Event Detection. The 64th International Studies Association Annual Convention (ISA). Montréal, Québec, Canada. 2023.
📕

Older Publications