Browse publications by year
Christopher Driggers-Ellis, Gabriel Ayoubi, Christan Grant. OPTiCAL: An Abstract Positional Reasoning Benchmark for Vision Language Models. NeurIPS Workshop on Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Abilities, and Scaling. San Diego, CA. 2025.
Christopher Driggers-Ellis, Gabriel Ayoubi, Christan Grant. OPTiCAL: An Abstract Positional Reasoning Benchmark for Vision Language Models. The 5th IEEE International Workshop on Multimodal AI (MMAI) at ICDM. Washington, D.C. 2025.
Girish Salunke, Christopher Driggers-Ellis, Christan Grant. Classifying Name-Date and Year Figures in Mixtec Codices. In Proceedings of the Computational Humanities Research Conference (CHR). Luxembourg, Luxembourg. 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.
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.
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.
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.
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.
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.
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.
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.
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.
Yan Liang, Christan Grant. TAED: Topic-Aware Event Detection. The 64th International Studies Association Annual Convention (ISA). Montréal, Québec, Canada. 2023.
Jasmine DeHart. Visual Privacy Mitigation Strategies in Social Media Networks and Smart Environments. Ph.D. Dissertation, The University of Oklahoma. Norman, Oklahoma. 2023.
Chenguang Xu. Statistical Anomaly Discovery Through Visualization. Ph.D. Dissertation, The University of Oklahoma. Norman, Oklahoma. 2023.
See additional publications from the lab. Pre 2023
