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Position: Key Claims in LLM Research Have a Long Tail of Footnotes

  • Hugging Face

Research output: Journal Article or Conference Article in JournalConference articleResearchpeer-review

Abstract

Much of the recent discourse within the ML community has been centered around Large Language Models (LLMs), their functionality and potential – yet not only do we not have a working definition of LLMs, but much of this discourse relies on claims and assumptions that are worth re-examining. We contribute a definition of LLMs, critically examine five common claims regarding their properties (including ’emergent properties’), and conclude with suggestions for future research directions and their framing.
Original languageEnglish
Conference proceedingsProceedings of the 41st International Conference on Machine Learning
Volume235
Pages (from-to)42647-42665
Publication statusPublished - 2024
EventInternational Conference on Machine Learning - Wien Exhibition Congress Center, Vienna, Austria
Duration: 21 Jul 202427 Jul 2024
https://icml.cc/Conferences/2024

Conference

ConferenceInternational Conference on Machine Learning
LocationWien Exhibition Congress Center
Country/TerritoryAustria
CityVienna
Period21/07/202427/07/2024
Internet address

Keywords

  • NLP
  • language models

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