•   When: Wednesday, October 15, 2025 from 10:30 AM to 11:30 AM
•   Speakers: Dr. Antonis Anastasopoulos
•   Location: ENGR 4201
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Abstract

Language technologies, despite all the incredible recent progress, do not yet robustly work for _everyone_. In this talk I will first summarize some of my group's recent work on addressing challenges we are still facing in the real world, such as handling language varieties (dialects), minority languages from bilingual communities, and catering to the needs of indigenous and endangered language communities. I will discuss solutions around data curation, modeling, and models' cultural adaptation, as well as some exciting preliminary results on incorporating human knowledge into LLMs in a way that reduces data requirements.

Speaker Bio

Antonios (Antonis) Anastasopoulos is an Assistant Professor in Computer Science at George Mason University. He received his PhD in Computer Science from the University of Notre Dame and then completed a postdoc at Languages Technologies Institute at Carnegie Mellon University. His research is on natural language processing with a focus on low-resource settings, endangered languages, and cross-lingual learning, and has been funded by the National Science Foundation (including by a CAREER award), the National Endowment for the Humanities, the DoD, Google, Amazon, Meta, and Microsoft Research.