Situating LLMs in Time: A Visual Tool for Teaching the History and Architecture of Modern NLP

ACM Technical Symposium on Computer Science Education (SIGCSE) 2026 Open access

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Authors: Michael Gathara, Aditya Makineni, Amber Lynn Wagner
DOI: 10.1145/3770761.3777298
Cited by: 0
References: 1

Fields of Study & Subjects

Natural Language Processing Techniques Cybernetics and Technology in Society History of Computing Technologies

Publication details

Journal / source
ACM Technical Symposium on Computer Science Education (SIGCSE)
Pages
1345–1346
Publication date
13 February 2026
Language
EN