Position: Key Claims in LLM Research Have a Long Tail of Footnotes
- ,
- Alexandra Sasha Luccioni
- ,
- Hugging Face
Research Output:
Journal Article or Conference Article in Journal
Conference article
Peer-reviewOpen access
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.
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Conference article
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 42647-42665Journal (Volume, Issue Number)
Proceedings of the 41st International Conference on Machine Learning (Volume 235)Publication milestones
- Published - 2024
Publication status
Published - 2024
Publication IDs
- Scopus: 85203792915
Publication metrics
PlumX
Citation count
6
Captures
16
Funding Details
DFF Inge Lehmann grant to Anna Rogers (3160-00022B)
FunderFunding numbers
-
-Access to documents
Final published version
Final published version
Related Event
Title
International Conference on Machine Learning
Event type
ConferenceDegree of recognition
International eventDate
21/07/2024 - 27/07/2024Location
Wien Exhibition Congress CenterViennaAustria
