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The Singleton Fallacy: Why Current Critiques of Language Models Miss the
  Point

The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point

Frontiers in Artificial Intelligence (Front. Artif. Intell.), 2021
8 February 2021
Magnus Sahlgren
F. Carlsson
ArXiv (abs)PDFHTML

Papers citing "The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point"

10 / 10 papers shown
Large Language Models Preserve Semantic Isotopies in Story Continuations
Large Language Models Preserve Semantic Isotopies in Story Continuations
Marc Cavazza
CLL
148
0
0
06 Oct 2025
Large Language Models: The Need for Nuance in Current Debates and a
  Pragmatic Perspective on Understanding
Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on UnderstandingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Bram van Dijk
Tom Kouwenhoven
M. Spruit
Max J. van Duijn
411
27
0
30 Oct 2023
Meaning and understanding in large language models
Meaning and understanding in large language models
Vladimír Havlík
AI4CE
236
13
0
26 Oct 2023
Large language models converge toward human-like concept organization
Large language models converge toward human-like concept organization
Mathias Gammelgaard
Jonathan Gabel Christiansen
Anders Søgaard
170
3
0
29 Aug 2023
On Degrees of Freedom in Defining and Testing Natural Language
  Understanding
On Degrees of Freedom in Defining and Testing Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Saku Sugawara
S. Tsugita
ELM
376
2
0
24 May 2023
LeXFiles and LegalLAMA: Facilitating English Multinational Legal
  Language Model Development
LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model DevelopmentAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Ilias Chalkidis
Nicolas Garneau
Catalina Goanta
Daniel Martin Katz
Anders Søgaard
AILawELM
225
84
0
12 May 2023
Do Vision and Language Models Share Concepts? A Vector Space Alignment
  Study
Do Vision and Language Models Share Concepts? A Vector Space Alignment StudyTransactions of the Association for Computational Linguistics (TACL), 2023
Jiaang Li
Yova Kementchedjhieva
Constanza Fierro
Anders Søgaard
VLM
329
23
0
13 Feb 2023
Do Large Language Models know what humans know?
Do Large Language Models know what humans know?Cognitive Sciences (CS), 2022
Sean Trott
Cameron J. Jones
Tyler A. Chang
J. Michaelov
Benjamin Bergen
413
129
0
04 Sep 2022
The Linguistic Blind Spot of Value-Aligned Agency, Natural and
  Artificial
The Linguistic Blind Spot of Value-Aligned Agency, Natural and Artificial
Travis LaCroix
206
3
0
02 Jul 2022
The Rediscovery Hypothesis: Language Models Need to Meet Linguistics
The Rediscovery Hypothesis: Language Models Need to Meet LinguisticsJournal of Artificial Intelligence Research (JAIR), 2021
Vassilina Nikoulina
Maxat Tezekbayev
Nuradil Kozhakhmet
Madina Babazhanova
Matthias Gallé
Z. Assylbekov
342
9
0
02 Mar 2021
1
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