5 citations · 10 across the 3 of their papers we have counts for
3 papers · 1 filter
From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generation
Ali Malik, Stephen Mayhew, Chris Piech +1
We study the problem of controlling the difficulty level of text generated by Large Language Models (LLMs) for contexts where end-users are not fully proficient, such as language l…
Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence
Yangqiu Song, Stephen Mayhew, Dan Roth
This paper presents an approach to classify documents in any language into an English topical label space, without any text categorization training data. The approach, Cross-Lingua…
Transliteration in Any Language with Surrogate Languages
Stephen Mayhew, Christos Christodoulopoulos, Dan Roth
We introduce a method for transliteration generation that can produce transliterations in every language. Where previous results are only as multilingual as Wikipedia, we show how…