2 papers
cs.CL2026
Reasoning about In-Context Samples for Machine-Translation
Maxime Bouthors, Josep Crego, François Yvon
Large Language Models (LLMs) can be trained to perform chain-of-thoughts reasoning in order to improve the reliability of their responses. In this work, we investigate how explicit…
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…