Research

See Google Scholar or SemanticScholar for an up-to-date list of publications.

I have attached links to the papers, code, and data where applicable. If anything that you want is missing, please email me at aadelucia @ jhu.edu or message me on Twitter.

Text Generation and Decoding

DeLucia, Alexandra; Dredze, Mark. Can one size fit all?: Measuring Failure in Multi-Document Summarization Domain Transfer. arXiv 2025. [Preprint]

DeLucia, Alexandra; Zhao, Mengjie; Maeda, Yoshinori; Yoda, Makoto; Yamada, Keiichi; Wakaki, Hiromi. Using Natural Language Inference to Improve Persona Extraction from Dialogue in a New Domain. arXiv 2022. [Preprint]

Sia, Suzanna; DeLucia, Alexandra; Duh, Kevin. Anti-LM Decoding for Zero-shot In-context Machine Translation. NAACL Findings. June 2024. [Preprint]

DeLucia, Alexandra; Mueller, Aaron; Li, Xiang “Lisa”; Sedoc, João. Decoding Methods for Neural Narrative Generation. 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM). August 2021. [PDF] [Poster] [Preprint] [Code] [[]]

DeLucia, Alexandra; Mueller, Aaron; Li, Xiang; Sedoc, João. Decoding Strategies for Interactive Narrative Generation. Animal Crossing Artifical Intelligence Workshop (ACAI). Presentation. 23 July 2020. [Talk] [Slides]

Large Language Models

DeLucia, Alexandra; Wu, Shijie; Mueller, Aaron; Aguirre, Carlos; Dredze, Mark; Resnik, Philip. 2022. Bernice: A Multilingual Pre-trained Encoder for Twitter. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 6191–6205, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics. [PDF] [Code] [Model] [Data] [Poster] [Talk]

Portillo Wigthman, Gwenyth; DeLucia, Alexandra; Dredze, Mark. 2023. Strength in Numbers: Estimating Confidence of Large Language Models by Prompt Agreement. In Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023), pages X-X, Toronto, CA. Association for Computational Linguistics. [PDF] [Code]

Civil Unrest on Twitter

DeLucia, Alexandra; Dredze, Mark; Buzcak, Anna L. A Multi-instance Learning Approach to Civil Unrest Event Detection using Twitter. The 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text at RANLP. September 2023. [PDF] [Slides] [Code]

Zhang, Jingyu; DeLucia, Alexandra; Zhang, Chenyu; Dredze, Mark. 2023. Geo-seq2seq: Twitter user geolocation on noisy data through sequence to sequence learning. In Findings of the Association for Computational Linguistics: ACL 2023, Toronto, July. 2023. Association for Computational Linguistics. [PDF] [Code]

Zhang, Jingyu; DeLucia, Alexandra; and Dredze, Mark. 2022. Changes in Tweet Geolocation over Time: A Study with Carmen 2.0. In Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022), pages 1–14, Gyeongju, Republic of Korea. Association for Computational Linguistics. [PDF][Talk][Slides] [Code] [Tool]

Chinta, Abhinav; Zhang, Jingyu; DeLucia, Alexandra; Buzcak, Anna L; Dredze, Mark. Study of Manifestation of Civil Unrest on Twitter. The 7th Workshop on Noisy User-generated Text (W-NUT) at EMNLP. November 2021. [PDF] [Poster] [Code/Data]

Sech, Justin; DeLucia, Alexandra; Buzcak, Anna L; Dredze, Mark. Civil Unrest on Twitter (CUT): A Dataset of Tweets to Support Research on Civil Unrest. The 6th Workshop on Noisy User-generated Text (W-NUT) at EMNLP. November 2020. [PDF] [Poster] [Code/Data]

Social Media and Public Health

Evan L. Eschliman; Karen Choe; Alexandra DeLucia; Elizabeth Addison; Valerie W. Jackson; Sarah M. Murray; Danielle German; Becky L. Genberg; Michelle R. Kaufman. First-hand accounts of structural stigma toward people who use opioids on Reddit. Social Science & Medicine (Volume 347). 2024. [Paper] [PDF]

Savannah Brenneke; Meredith Meacham; Amanda Bunting; Alexandra DeLucia; Nicholas Proferes. r/AskAcademia: Special Considerations in the Practice of Using Reddit for Substance Use Research. College on Problems of Drug Dependence (CPDD). 2023. [Slides]

Alexandra DeLucia, Adam Poliak, Zechariah Zhu, Stephanie R Pitts, Mario Navarro, Sharareh Shojaie, John W Ayers, Mark Dredze. Automated Discovery of Perceived Health-related Concerns about E-cigarettes from Reddit. Annual Meeting of the Society for Research on Nicotine and Tobacco. 2023. Page 189. [PDF] [Poster]

Human Annotation Studies

Lee, Seunggun; DeLucia, Alexandra; Guan, Ryan; Li, Rubing; Nangia, Nikita; Vaidya, Shalaka; Zhang, Lining; Yuan, Zijun; Ganedi, Praneeth; Ngaw, Britney; Singhal, Aditya; Sedoc João. Common Law Annotations: Investigating the Stability of Dialog Annotations. In Findings of the Association for Computational Linguistics: ACL 2023, Toronto, July. 2023. Association for Computational Linguistics. [PDF] [Code]

Characterization of Online Behavior

DeLucia, Alexandra; Drobina, Emma; Fairchild, Geoffrey; Daughton, Ashlynn; Moore, Elisabeth. Automated Detection and Characterization of Pathological Online Behavior. Beyond Misinformation: Towards a Research Agenda for Information Ecosystems, Network Dynamics and Emergent Epistemologies (INDE). 5 August 2021. Presented by Elisabeth Moore. [Slides] [Los Alamos National Laboratory Applied Machine Learning Summer Research Final Presentation 2021]

High Performance Computing

DeLucia, Alexandra; Moore, Elisabeth. Early Prediction of High Performance Computing Job Outcomes via Modeling System Text Logs. Machine Learning for Computing Systems (MLCS) Workshop, Supercomputing. November 2020. [PDF] [NeurIPS-WiML Poster 2018]

DeLucia, Alexandra; Moore, Elisabeth. Analyzing HPC Support Tickets: Experience and Recommendations. arXiv 2020. [Preprint]

Haque, Abida, DeLucia, Alexandra, and Baseman, Elisabeth. Markov Chain Modeling for Anomaly Detection in High Performance Computing System Logs. HUST’17: Proceedings of the Fourth International Workshop on HPC User Support Tools. November 2017. [PDF]

Senior Honor’s Thesis | Rollins College 2018

Alexandra DeLucia, advised by Julie Carrington and Elisabeth Moore (Los Alamos National Lab). High Performance Computing Job Outcome Prediction By Mining System Logs. [PDF]