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Jacob Andreas

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Jacob Andreas is an associate professor at MIT in EECS and CSAIL. He did his PhD work at Berkeley, where he was a member of the Berkeley NLP Group and the Berkeley AI Research Lab. His research aims to understand the computational foundations of language learning, and to build general-purpose intelligent systems that can communicate effectively with humans and learn from human guidance.

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Forbes

Valiantly Looking For Truth And Certainty In AI And LLMs Gets Earnest Airtime At Harvard’s BKC

Forbes contributor Lance Eliot recaps the first event of the Fall 2025 Speaker Series: "Belief, Uncertainty, and Truth in Language Models" featuring Jacob Andreas and moderated by…

Oct 2, 2025

Events

Event
Oct 1, 2025 @ 12:30 PM

Belief, Uncertainty, and Truth in Language Models

Fall Speaker Series

What does it mean for a language model to “know” something—and how should it communicate uncertainty to the people who use it? In this talk, Jacob Andreas, Associate Professor of…