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20182026
most citedDetecting Pretraining Data from Large Language Models

13 citations · 48 across the 26 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024★ 1 cited

Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models

Hila Gonen, Terra Blevins, Alisa Liu +2

Despite their wide adoption, the biases and unintended behaviors of language models remain poorly understood. In this paper, we identify and characterize a phenomenon never discuss…

cs.CL2024★ 1 cited

Targeted Multilingual Adaptation for Low-resource Language Families

C. M. Downey, Terra Blevins, Dhwani Serai +2

The "massively-multilingual" training of multilingual models is known to limit their utility in any one language, and they perform particularly poorly on low-resource languages. Ho…

cs.CL2024★ 1 cited

MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling

Tomasz Limisiewicz, Terra Blevins, Hila Gonen +2

A major consideration in multilingual language modeling is how to best represent languages with diverse vocabularies and scripts. Although contemporary text encoding methods cover…

cs.CL2024★ 4 cited

Comparing Hallucination Detection Metrics for Multilingual Generation

Haoqiang Kang, Terra Blevins, Luke Zettlemoyer

While many hallucination detection techniques have been evaluated on English text, their effectiveness in multilingual contexts remains unknown. This paper assesses how well variou…

cs.CL2024

Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models

Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan +4

Despite their popularity in non-English NLP, multilingual language models often underperform monolingual ones due to inter-language competition for model parameters. We propose Cro…