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cs.CL2025
A comparison of translation performance between DeepL and Supertext
Alex Flückiger, Chantal Amrhein, Tim Graf +5
As strong machine translation (MT) systems are increasingly based on large language models (LLMs), reliable quality benchmarking requires methods that capture their ability to leve…
cs.CL2024
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…