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1909.05885
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Analyzing machine-learned representations: A natural language case study
12 September 2019
Ishita Dasgupta
Demi Guo
S. Gershman
Noah D. Goodman
NAI
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Papers citing
"Analyzing machine-learned representations: A natural language case study"
7 / 7 papers shown
Title
Representation in large language models
Cameron C. Yetman
101
1
0
03 Jan 2025
Probing BERT's priors with serial reproduction chains
Takateru Yamakoshi
Thomas Griffiths
Robert D. Hawkins
84
13
0
24 Feb 2022
Distinguishing rule- and exemplar-based generalization in learning systems
Ishita Dasgupta
Erin Grant
Thomas Griffiths
88
16
0
08 Oct 2021
Measuring Systematic Generalization in Neural Proof Generation with Transformers
Nicolas Angelard-Gontier
Koustuv Sinha
Siva Reddy
C. Pal
LRM
106
64
0
30 Sep 2020
Probing Linguistic Systematicity
Emily Goodwin
Koustuv Sinha
Timothy J. O'Donnell
146
58
0
08 May 2020
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
Paul Soulos
R. Thomas McCoy
Tal Linzen
P. Smolensky
CoGe
132
44
0
21 Oct 2019
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GAN
AAML
203
601
0
31 Oct 2017
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