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SUMMARY:LLMs as supersloppers and other metaphors - Ann Copestake (Univers
 ity of Cambridge)
DTSTART:20250207T120000Z
DTEND:20250207T130000Z
UID:TALK227404@talks.cam.ac.uk
CONTACT:Suchir Salhan
DESCRIPTION:\nAbstract: The interdisciplinary pilot project `Exploring nov
 el figurative language to conceptualise Large Language Models’ is funded
  by Cambridge Language Sciences.  This talk mainly concerns `slop'\, by wh
 ich we mean text delivered to a reader which is of little or no value to t
 hem (or is even harmful) or is so verbose or convoluted that the value is 
 hidden. Examples range from unnecessarily obscure legal agreements to acad
 emic papers in predatory journals. Intuitively\, slop has negligible infor
 mation density for the reader.  Although the term `slop' is often used spe
 cifically for generative AI output\, we argue that slop predates the machi
 ne-generation of text and has to be understood in the context of wider soc
 ietal processes.  Modern ways of delivering text are driving an increase i
 n slop.  In this context\, systems incorporating LLMs have the capacity to
  be `supersloppers' --- tools for the creation and delivery of more and mo
 re pointless text.  \n\nDepending on time\, I will discuss some other exam
 ples of figurative language and other ways of exploring aspects of LLMs.  
 This will be a very informal talk - I am especially keen to hear about met
 aphors that other people find helpful (or unhelpful).\n\nAnn Copestake\, L
 ucy Duggan\, Aurelie Herbelot\, Amira Moeding and Eva von Redecker (2024).
  `LLMs as supersloppers' Cambridge Open Engage. doi:10.33774/coe-2024-dx12
 p 
LOCATION:Room SS03 
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