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X-WR-CALNAME:Unlocking Language Models: Controlling LMs to Enable NLP for A
ll
X-WR-TIMEZONE:America/Los_Angeles
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DTSTART:20070311T020000
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BEGIN:VEVENT
UID:2024-04-11-hila-gonen@cml.ics.uci.edu
DTSTAMP:20240411T000000Z
SEQUENCE:57690
DTSTART;TZID=America/Los_Angeles:20240411T110000
DTEND;TZID=America/Los_Angeles:20240411T120000
SUMMARY:[CML Seminar] Hila Gonen: Unlocking Language Models: Controlling LM
s to Enable NLP for All
LOCATION:Donald Bren Hall 4011
DESCRIPTION:Hila Gonen\, Postdoctoral Researcher\, School of Computer Scien
ce & Engineering\, University of Washington\n\nTitle: Unlocking Language M
odels: Controlling LMs to Enable NLP for All\n\nAbstract: Large language m
odels (LLMs) have soared in popularity in recent years\, thanks to their a
bility to generate well-formed natural language answers for a myriad of to
pics. Despite their astonishing capabilities\, they still suffer from vari
ous limitations. This talk will focus on two of them: the limited control
over LLMs\, and their failure to serve users from diverse backgrounds. I w
ill start by presenting my research on controlling and enriching language
models through the input (prompting). In the second part\, I will introduc
e a novel algorithmic method to remove protected properties (such as gende
r and race) from text representations\, which is crucial for preserving pr
ivacy and promoting fairness. The third part of the talk will focus on my
research efforts to develop models that support multiple languages\, and t
he challenges faced when working with languages other than English.\n\nhtt
ps://cml.ics.uci.edu/seminars/2024-04-11-hila-gonen
X-ALT-DESC;FMTTYPE=text/html:Hila Gonen\, Postdoctoral R
esearcher\, School of Computer Science &\; Engineering\, University of
Washington
Title: Unlocking Language Models: Controlling LMs
to Enable NLP for All
Abstract: Large language models (LLMs
) have soared in popularity in recent years\, thanks to their ability to g
enerate well-formed natural language answers for a myriad of topics. Despi
te their astonishing capabilities\, they still suffer from various limitat
ions. This talk will focus on two of them: the limited control over LLMs\,
and their failure to serve users from diverse backgrounds. I will start b
y presenting my research on controlling and enriching language models thro
ugh the input (prompting). In the second part\, I will introduce a novel a
lgorithmic method to remove protected properties (such as gender and race)
from text representations\, which is crucial for preserving privacy and p
romoting fairness. The third part of the talk will focus on my research ef
forts to develop models that support multiple languages\, and the challeng
es faced when working with languages other than English.
https://cml.ics.uci
.edu/seminars/2024-04-11-hila-gonen
URL:https://cml.ics.uci.edu/seminars/2024-04-11-hila-gonen
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