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SUMMARY:Assessing the Social Capacity of Large Language Models - David Jur
 gens\, University of Michigan
DTSTART:20231130T150000Z
DTEND:20231130T160000Z
UID:TALK209179@talks.cam.ac.uk
CONTACT:Panagiotis Fytas
DESCRIPTION:Much of language is social: nearly all of what we communicate 
 is directed to other people in a particular social context. Yet\, our trad
 itional models for natural language understanding have typically operated 
 independently of this social context. With large language models (LLMs) no
 w being used in more interpersonal contexts\, we ask to what degree do the
 se models understand the social world in which they operate. In this talk\
 , I will describe three studies aiming to measure the social capacity of L
 LMs from different angles: their ability to recognize different types of s
 ocial information in messages\, their ability to use the social context to
  correctly interpret a context-sensitive message\, and their potential for
  innate personality-like characteristics. Through these examples\, I will 
 highlight the importance of social information for improving natural langu
 age processing models.
LOCATION:https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBd
 XVpOXFvdz09
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