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Do large language models (LLMs) make human-like linguistic generalizations? Dentella et al.
Knowledge of Language: Its Nature, Origin, and Use
N. Chomsky · 1986
Earlier work this paper cites.
Metalinguistic Performance and Interlinguistic Competence
D. Birdsong · 1989
Earlier work this paper cites.
Grammaticality Judgment Tests: How Reliable and Valid Are They?
Y. Han · 2000
Earlier work this paper cites.
Predicting the dative alternation
J. Bresnan, A. Cueni, T. Nikitina, and R. H. Baayen · 2007
Earlier work this paper cites.
Linguistic Nativism and the Poverty of the Stimulus
A. Clark and S. Lappin · 2010
Cited alongside, same era.
Targeted Syntactic Evaluation of Language Models
R. Marvin and T. Linzen · 2018
Cited alongside, same era.
A Systematic Assessment of Syntactic Generalization in Neural Language Models
J. Hu, J. Gauthier, P. Qian, E. Wilcox, and R. Levy · 2020
Cited alongside, same era.
BLiMP: The Benchmark of Linguistic Minimal Pairs for English
A. Warstadt, A. Parrish, H. Liu, A. Mohananey, W. Peng, S.-F. Wang, and S. R. Bowman · 2020
Later among the works it cites.
Systematic testing of three Language Models reveals low language accuracy, absence of response stability, and a yes-response bias
V. Dentella, F. Günther, and E. Leivada · 2023
Later among the works it cites.
Prompting is not a substitute for probability measurements in large language models
J. Hu and R. Levy · 2023
Later among the works it cites.
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