3 main points✔️ Validates emergence observed in large-scale language models ✔️ Suggests that LLM emergence may be an illusion created by evaluation measures ✔️ Successfully reproduces emergence that does not actually occur intentionally by using specific evaluation measures in non-LLM modelsAre Emergent Abilities of Large Language Models a Mirage?writtenbyRylan Schaeffer,Brando Miranda,Sanmi Koyejo(Submitted on28 Apr 2023 (v1), last revised 22 May 2023 (this version, v2))Comments: Published on arxiv.Subjects: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)code:The images used in this article are from the paper, the introductory slides, or were created based on them.IntroductionEmergence" refers to the occurrence of effects and phenomena that could not be seen in a single element when a large number of elements are assembled. In recent large-scale language models (LLMs), i.e.
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