LLLMs: A data-driven survey of evolving research on limitations of Large Language Models

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DOI:	https://doi.org/10.1145/3801096
URL:	https://dl.acm.org/doi/10.1145/3801096
URN:	urn:nbn:de:bsz:180-madoc-721694
Document Type:	Article
Year of publication:	2026
The title of a journal, publication series:	ACM Computing Surveys : CSUR
Volume:	58
Issue number:	11 , Article 282
Page range:	1-33
Place of publication:	New York, NY
Publishing house:	ACM Press
ISSN:	0360-0300 , 1557-7341
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Data Science (Paulheim 2018-)
Pre-existing license:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject:	004 Computer science, internet
Keywords (English):	Large language models , LLM limitations , LLM trend analysis

	Dieser Eintrag ist Teil der Universitätsbibliographie.
	Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.

BASE: Kostikova, Aida ; Wang, Zhipin ; Bajri, Deidamea ; Pütz, Ole ; Paaßen, Benjamin ; Eger, Steffen

Google Scholar: Kostikova, Aida ; Wang, Zhipin ; Bajri, Deidamea ; Pütz, Ole ; Paaßen, Benjamin ; Eger, Steffen

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