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20222024
most citedCometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task

33 citations · 67 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024★ 20 cited

Findings of the WMT 2024 Shared Task on Chat Translation

Wafaa Mohammed, Sweta Agrawal, M. Amin Farajian +4

This paper presents the findings from the third edition of the Chat Translation Shared Task. As with previous editions, the task involved translating bilingual customer support con…

cs.CL2024

Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation

Sweta Agrawal, José G. C. de Souza, Ricardo Rei +5

Alignment with human preferences is an important step in developing accurate and safe large language models. This is no exception in machine translation (MT), where better handling…

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

QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation

Gonçalo R. A. Faria, Sweta Agrawal, António Farinhas +3

An important challenge in machine translation (MT) is to generate high-quality and diverse translations. Prior work has shown that the estimated likelihood from the MT model correl…

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…