2 citations · 2 across the 4 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.CL2023★ 2 cited
Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed?
Tannon Kew, Florian Schottmann, Rico Sennrich
The vast majority of today's large language models (LLMs) are English-centric, having been pretrained predominantly on English text. Yet, in order to meet user expectations, models…
cs.CL2023
BLESS: Benchmarking Large Language Models on Sentence Simplification
Tannon Kew, Alison Chi, Laura Vásquez-Rodríguez +4
We present BLESS, a comprehensive performance benchmark of the most recent state-of-the-art large language models (LLMs) on the task of text simplification (TS). We examine how wel…