Difference between revisions of "Meeting Schedule"

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| 10/02/2024 || Martha Palmer, Annie Zaenen, Susan Brown, Alexis Cooper: Testing GPT4's interpretation of the Caused-Motion Construction
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| 10/02/2024 || Martha Palmer, Annie Zaenen, Susan Brown, Alexis Cooper.
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'''Title:''' Testing GPT4's interpretation of the Caused-Motion Construction
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'''Abstract:''' The fields of Artificial Intelligence and Natural Language Processing have been revolutionized by the advent  of  Large  Language  Models  such  as  GPT4.  They  are  perceived  as  being  language  experts and there is a lot of speculation about how intelligent they are, with claims being made about “Sparks of  General  Artificial  Intelligence.”  This  talk  will  describe  in  detail  an  English  linguistic  construction, the Caused Motion Construction, and compare prior interpretation approaches with current LLM interpretations.  The  prior  approaches  are  based  on  VerbNet. It’s unique  contributions  to  prior  approaches  will  be  outlined.  Then  the  results  of  a  recent  preliminary study  probing  GPT4’s  analysis  of  the  same  constructions  will  be  presented.  Not  surprisingly,  this analysis  illustrates  both  strengths  and  weaknesses  of  GPT4’s  ability  to  interpret  Caused  Motion Constructions and to generalize this interpretation.
  
 
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Revision as of 08:25, 2 October 2024

Location: Hybrid - Muenzinger D430, and the zoom link below

Time: Wednesdays at 11:30am, Mountain Time

Zoom link: https://cuboulder.zoom.us/j/97014876908

Date Title
08/28/2024 Planning, introductions, welcome!
09/04/2024 Brunch Social
09/11/2024 Watch and discuss NLP keynote
09/18/2024 CLASIC presentations
09/25/2024 Invited talks/discussions from Leeds and Anschutz folks: Liu Liu, Abe Handler, Yanjun Gao, Curry Guinn


10/02/2024 Martha Palmer, Annie Zaenen, Susan Brown, Alexis Cooper.

Title: Testing GPT4's interpretation of the Caused-Motion Construction

Abstract: The fields of Artificial Intelligence and Natural Language Processing have been revolutionized by the advent of Large Language Models such as GPT4. They are perceived as being language experts and there is a lot of speculation about how intelligent they are, with claims being made about “Sparks of General Artificial Intelligence.” This talk will describe in detail an English linguistic construction, the Caused Motion Construction, and compare prior interpretation approaches with current LLM interpretations. The prior approaches are based on VerbNet. It’s unique contributions to prior approaches will be outlined. Then the results of a recent preliminary study probing GPT4’s analysis of the same constructions will be presented. Not surprisingly, this analysis illustrates both strengths and weaknesses of GPT4’s ability to interpret Caused Motion Constructions and to generalize this interpretation.

10/09/2024 NAACL Paper Clinic
10/16/2024 Alexandra and Tavin Senior Thesis Proposal
10/23/2024 Ananya's Proposal
10/30/2024 Marie's prelim
11/06/2024 Kevin Stowe - on Zoom
11/13/2024 Abteen's proposal
11/20/2024 Adam's defense
11/27/2024 No meeting: Fall break
12/04/2024 Enora's prelim
12/11/2024 DJ's prelim


Past Schedules