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James Michaelov

3 accepted papers

2023

Rarely a problem? Language models exhibit inverse scaling in their predictions following few-type quantifiers

ACL 2023findings

How well do language models deal with quantification? In this study, we focus on ‘few’-type quantifiers, as in ‘few children like toys’, which might pose a particular challenge for language models because the sentence components with out the quantifier are likely to co-occur, and ‘few’-type quantifi…

Cited by 13SourcePDFScholar
2023

Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models

EMNLP 2023long main

Abstract grammatical knowledge—of parts of speech and grammatical patterns—is key to the capacity for linguistic generalization in humans. But how abstract is grammatical knowledge in large language models? In the human literature, compelling evidence for grammatical abstraction comes from structura…

Cited by 0SourceScholar