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X-WR-CALNAME:Evaluating Explanations
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DTSTART:20070311T020000
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UID:2023-04-17-danish-pruthi@cml.ics.uci.edu
DTSTAMP:20230417T000000Z
SEQUENCE:57690
DTSTART;TZID=America/Los_Angeles:20230417T130000
DTEND;TZID=America/Los_Angeles:20230417T140000
SUMMARY:[CML Seminar] Danish Pruthi: Evaluating Explanations
LOCATION:Donald Bren Hall 4011
DESCRIPTION:Danish Pruthi\, Assistant Professor\, Department of Computation
 al and Data Sciences\, Indian Institute of Science (IISc)\, Bangalore\n\nT
 itle: Evaluating Explanations\n\nAbstract: While large deep learning model
 s have become increasingly accurate\, concerns about their (lack of) inter
 pretability have taken center stage. In response\, a growing subfield on i
 nterpretability and analysis of these models has emerged. While hundreds o
 f techniques have been proposed to explain predictions of models\, what ai
 ms these explanations serve and how they ought to be evaluated are often u
 nstated. In this talk\, I will present a framework to quantify the value o
 f explanations\, along with specific applications in a variety of contexts
 . I would end with some of my thoughts on evaluating large language models
  and the rationales they generate.\n\nhttps://cml.ics.uci.edu/seminars/202
 3-04-17-danish-pruthi
X-ALT-DESC;FMTTYPE=text/html:<html><body><b>Danish Pruthi</b>\, Assistant P
 rofessor\, Department of Computational and Data Sciences\, Indian Institut
 e of Science (IISc)\, Bangalore<br><br><b>Title:</b> Evaluating Explanatio
 ns<br><br><b>Abstract:</b> While large deep learning models have become in
 creasingly accurate\, concerns about their (lack of) interpretability have
  taken center stage. In response\, a growing subfield on interpretability 
 and analysis of these models has emerged. While hundreds of techniques hav
 e been proposed to explain predictions of models\, what aims these explana
 tions serve and how they ought to be evaluated are often unstated. In this
  talk\, I will present a framework to quantify the value of explanations\,
  along with specific applications in a variety of contexts. I would end wi
 th some of my thoughts on evaluating large language models and the rationa
 les they generate.<br><br><a href="https://cml.ics.uci.edu/seminars/2023-0
 4-17-danish-pruthi">https://cml.ics.uci.edu/seminars/2023-04-17-danish-pru
 thi</a></body></html>
URL:https://cml.ics.uci.edu/seminars/2023-04-17-danish-pruthi
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