3 papers
cs.CL2025
Prompting LLMs: Length Control for Isometric Machine Translation
Dávid Javorský, Ondřej Bojar, François Yvon
In this study, we explore the effectiveness of isometric machine translation across multiple language pairs (EnDe, EnFr, and EnEs) under the conditions of the IWSLT…
cs.CL2025
Improving Retrieval-Augmented Neural Machine Translation with Monolingual Data
Maxime Bouthors, Josep Crego, François Yvon
Conventional retrieval-augmented neural machine translation (RANMT) systems leverage bilingual corpora, e.g., translation memories (TMs). Yet, in many settings, monolingual corpora…
cs.CL2024
MOSAIC: Multiple Observers Spotting AI Content
Matthieu Dubois, François Yvon, Pablo Piantanida
The dissemination of Large Language Models (LLMs), trained at scale, and endowed with powerful text-generating abilities, has made it easier for all to produce harmful, toxic, fake…