Computational Linguistics
Ailments of Alignment: Hurdles in Adapting Large Language Models to Human Demands
Lunch will be served by 12:15. Please arrive early to get your food so we can start the talk on time!
Comparison of Solutions to Catastrophic Forgetting
Computational models of language acquisition: Lessons from humans for machines and from machines for humans
Examining Racially Biased Language within a Large Corpus American Football Commentary
Talk and discussion will last one hour. At 3:30 we will have a brief Q&A with Ewan about his career path since completing his PhD at UMD.
Modelling early language acquisition from raw speech data
Nataliya Stepanova -- a Math and CS double degree student and Linguistics minor, and an alum of LSC’s PULSAR undergraduate research program -- has become the University’s sixth (ever) recipient of a Marshall Scholarship. Pandemic permitting, she will be heading to Scotland in the Fall to earn a Master’s in Speech and Language Processing at the University of Edinburgh.
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