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
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
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 metrics
PlumX
Citations
6
Captures
16
Funding Details
DFF Inge Lehmann grant to Anna Rogers (3160-00022B)
FundersFunding 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
