Podcast: Data Nation
IDSS faculty and industry experts unpack how data can be used to lead, mislead, manipulate, and inform the public’s viewpoints and decisions. Season 2 has begun!
-
IDSS faculty Naoki Egami one of six faculty granted tenure in the MIT School of Humanities, Arts, and Social Sciences.
-
SDSC faculty Emery Brown will serve as one of two MIT faculty leads for the program, which will fund joint research projects that advance technology and clinical research.
-
In a new study, researchers including SDSC faculty Ali Jadbabaie and SES/IDPS student Xinyi Wu discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.
Oct
10
Do Large Language Models (Really) Need Statistical Foundations?
E18-304
Weijie Su, University of Pennsylvania
Oct
17
Oct
24
Oct
31
Attention Sinks: A ‘Catch, Tag, Release’ Mechanism for Embeddings
E18-304
Vardan Papyan, University of Toronto
Nov
07
Back to the future – data efficient language modeling
E18-304
Tatsunori Hashimoto, Stanford University