UF Data Studio Publications

Browse publications by year


Pre 2023 | 2023 | 2024 | 2025


📕 = conference | 📜 = poster | 🎒 = workshop

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, Ge Jin, Denghui Zhang, Ko-Jen Hsiao, Christan Grant, Daisy Zhe Wang. RAMQA: Retrieval-Augmented Multilingual Question Answering Via Language-Agnostic Embedding-Based Reranking. In the Proceedings of the ACL Special Interest Group on Linguistic Typology (SIGTYP) . Vienna, Austria. 2025.
🎒 pdf | bib

2024

Chen Zhao, Matthew Arana, Christan Grant. Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: (Or Why the Law Is Not a Decision Tree). In the Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT). Rio de Janeiro, Brazil. 2024.
📕 bib

Alexander R. Webber, Robert Pugh, Christan Grant. Analyzing the Pre-Columbian Codices Using Computer Vision. In the Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024). Mexico City, Mexico. 2024.
🎒 pdf | poster | bib

Yang Bai, Daisy Zhe Wang, Ko-Jen Hsiao, Denghui Zhang, and Christan Grant. M^3-Embedding: Multi-Linguality, Multi-Functionality, and Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. In the Proceedings of the 1st Multilingual Representation Learning (MLR) Workshop. Miami, FL. 2024.
🎒 bib

Amy Wu, Robert A. Wittie, Jr., Christan Grant, and Gavin T. Naylor. Guided Undergraduate Training for Shark Segmentation, GUT-SS. Frontiers in Marine Science. Sharks using AI. 2024.
💼 pdf | bib

2023

Shine Xu, Jasmine DeHart, Chen Zhao, Danielle Bitterman, and Christan Grant. Hybrid Search for Efficient Planning with Completeness Guarantees. In the Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23). Washington, DC. 2023.
📕 pdf | slides | bib

Chen Zhao, Yan Liang, Matthew Arana, Latifur Khan, Feng Chen, and Christan Grant. Towards Formal Algorithmic Fairness Contracts. In the ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO). Boston, MA. 2023.
📜 pdf | bib

Older Publications

See additional publications from the lab. Pre 2023

[Updated on May 29, 2023]

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