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

Research Output:
Journal Article or Conference Article in Journal
Conference article
Peer-review

Open 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-review

Original language

English

Pages from-to (Number of pages)

Pages 42647-42665

Journal (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
-
-

Related Event

Title

International Conference on Machine Learning

Event type

Conference

Degree of recognition

International event

Date

21/07/2024 - 27/07/2024

Location

Wien Exhibition Congress CenterViennaAustria