4 citations · 10 across the 6 of their papers we have counts for
6 papers
Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild
Niloofar Mireshghallah, Maria Antoniak, Yash More +2
Measuring personal disclosures made in human-chatbot interactions can provide a better understanding of users' AI literacy and facilitate privacy research for large language models…
CulturalTeaming: AI-Assisted Interactive Red-Teaming for Challenging LLMs' (Lack of) Multicultural Knowledge
Yu Ying Chiu, Liwei Jiang, Maria Antoniak +7
Frontier large language models (LLMs) are developed by researchers and practitioners with skewed cultural backgrounds and on datasets with skewed sources. However, LLMs' (lack of)…
NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs
Maria Antoniak, Aakanksha Naik, Carla S. Alvarado +2
Ethical frameworks for the use of natural language processing (NLP) are urgently needed to shape how large language models (LLMs) and similar tools are used for healthcare applicat…
The Afterlives of Shakespeare and Company in Online Social Readership
Maria Antoniak, David Mimno, Rosamond Thalken +3
The growth of social reading platforms such as Goodreads and LibraryThing enables us to analyze reading activity at very large scale and in remarkable detail. But twenty-first cent…
Personalized Jargon Identification for Enhanced Interdisciplinary Communication
Yue Guo, Joseph Chee Chang, Maria Antoniak +4
Scientific jargon can impede researchers when they read materials from other domains. Current methods of jargon identification mainly use corpus-level familiarity indicators (e.g.,…
Sensemaking About Contraceptive Methods Across Online Platforms
LeAnn McDowall, Maria Antoniak, David Mimno
Selecting a birth control method is a complex healthcare decision. While birth control methods provide important benefits, they can also cause unpredictable side effects and be sti…