NLP and Text-as-Data Speaker Series

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How do large language models work?

The NYU NLP and Text-as-Data Speaker Series takes place on Thursdays, 4:00pm to 5:30pm at 60 5th Avenue (7th floor common area). This interdisciplinary series brings together experts from a wide range of fields, including computer science, linguistics, and social sciences, to explore cutting-edge research in Natural Language Processing (NLP) and text-as-data analysis.

Series Overview

Originally focused on text data applied to social science applications, the series has expanded to incorporate the growing interest in NLP from various disciplines. It provides an opportunity for attendees to engage with groundbreaking work that pushes the boundaries of what’s possible in language processing and analysis. The seminar is organized by Sam BowmanHe He, João Sedoc, Eunsol Choi, and Tal Linzen, and is open to anyone who is affiliated with NYU and wishes to attend.

See below for our schedule of speakers and sign up for our mailing list for details about live-streaming of talks and updates to the schedule.

All talks are currently scheduled to be in-person. The schedule listed below is tentative. Live talk attendance is limited, but recordings will be posted on this page and may be accessed by anyone.

Upcoming Events

How do large language models work?

October 1, 2024, 4:00pm

Tim O’Donnell (McGill University)BEING RESCHEDULED

How do large language models work?

October 17, 2024, 4:00pm

Noah Goodman (Stanford)

How do large language models work?

November 21, 2024, 4:00pm

Jennifer Hu (Johns Hopkins / Harvard)

How do large language models work?

December 5, 2024, 4:00pm

Michael Hahn (Saarland University)

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