Emmanouil Zaranis — accepted AI-conference papers

2025

Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation

Emmanouil Zaranis, Giuseppe Attanasio, Sweta Agrawal, Andre Martins

ACL 2025long

Quality estimation (QE)—the automatic assessment of translation quality—has recently become crucial across several stages of the translation pipeline, from data curation to training and decoding. While QE metrics have been optimized to align with human judgments, whether they encode social biases ha…

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2024

Analyzing Context Contributions in LLM-based Machine Translation

Emmanouil Zaranis, Nuno M Guerreiro, Andre Martins

EMNLP 2024finding

Large language models (LLMs) have achieved state-of-the-art performance in machine translation (MT) and demonstrated the ability to leverage in-context learning through few-shot examples. However, the mechanisms by which LLMs use different parts of the input context remain largely unexplored. In thi…

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