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

International Conference on Machine Learning (ICML), 2023
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 émergent properties'), and conclude with suggestions for future research directions and their framing.

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