The MIT NLP Meetings is a new student-run seminar series. This talk series features NLP researchers working on a diverse set of topics ranging from LLMs, interpretability, Human AI Collaboration, and more. We often meet on Wednesdays at 3pm in person at building 45.

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Stay tuned for the forthcoming talks and consider join our slack channel #nlp-meetings.

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The talk series is organized by Shannon Shen and Pratyusha Sharma. Our faculty advisors include Jacob Andreas, Yoon Kim, and David Sontag. We thank the many suggestions from our friends at MIT, and we are grateful for our sponsors listed below.

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Also you might be interested in other seminar/talk series about ML/NLP at MIT:

• The EI Seminar Series consists of talks from PIs doing research in ML, robotics and related fields.
• Scale ML Seminars is organized by graduate students collectively focusing on Algorithms That Learn and Scale.
• The ML Tea Talks is a weekly series of informal 30-minute-long talks from members of the machine learning community around MIT.
• ML Seminars aims for technical talks with methodological insights that generalize across ML fields.