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20212026
most citedUncertainty-Aware Machine Translation Evaluation

18 citations · 89 across the 18 of their papers we have counts for

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Showing 2024 · cs.CLShow all

5 papers · 2 filters

cs.CL2024★ 3 cited

EuroLLM: Multilingual Language Models for Europe

Pedro Henrique Martins, Patrick Fernandes, João Alves +12

The quality of open-weight LLMs has seen significant improvement, yet they remain predominantly focused on English. In this paper, we introduce the EuroLLM project, aimed at develo…

cs.CL2024

Is Context Helpful for Chat Translation Evaluation?

Sweta Agrawal, Amin Farajian, Patrick Fernandes +2

Despite the recent success of automatic metrics for assessing translation quality, their application in evaluating the quality of machine-translated chats has been limited. Unlike…

cs.CL2024★ 18 cited

SaulLM-7B: A pioneering Large Language Model for Law

Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf +8

In this paper, we introduce SaulLM-7B, a large language model (LLM) tailored for the legal domain. With 7 billion parameters, SaulLM-7B is the first LLM designed explicitly for leg…

cs.CL2024★ 6 cited

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks

Duarte M. Alves, José Pombal, Nuno M. Guerreiro +10

While general-purpose large language models (LLMs) demonstrate proficiency on multiple tasks within the domain of translation, approaches based on open LLMs are competitive only wh…

cs.CL2024★ 8 cited

CroissantLLM: A Truly Bilingual French-English Language Model

Manuel Faysse, Patrick Fernandes, Nuno M. Guerreiro +13

We introduce CroissantLLM, a 1.3B language model pretrained on a set of 3T English and French tokens, to bring to the research and industrial community a high-performance, fully op…