3 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.CL2024
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison
Maxime Bouthors, Josep Crego, Francois Yvon
Retrieval-Augmented Neural Machine Translation (RAMT) architectures retrieve examples from memory to guide the generation process. While most works in this trend explore new ways t…
cs.CL2022
Integrating Translation Memories into Non-Autoregressive Machine Translation
Jitao Xu, Josep Crego, François Yvon
Non-autoregressive machine translation (NAT) has recently made great progress. However, most works to date have focused on standard translation tasks, even though some edit-based N…