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cs.CL2026
Optimizing Multilingual LLMs via Federated Learning: A Study of Client Language Composition
Aleix Sant, Jordi Luque, Carlos Escolano
Federated Learning (FL) of Large Language Models (LLMs) in multilingual environments presents significant challenges stemming from heterogeneous language distributions across clien…
cs.CL2024
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs
Aleix Sant, Carlos Escolano, Audrey Mash +2
This paper studies gender bias in machine translation through the lens of Large Language Models (LLMs). Four widely-used test sets are employed to benchmark various base LLMs, comp…
cs.CL2024
SpeechAlign: a Framework for Speech Translation Alignment Evaluation
Belen Alastruey, Aleix Sant, Gerard I. Gállego +2
Speech-to-Speech and Speech-to-Text translation are currently dynamic areas of research. In our commitment to advance these fields, we present SpeechAlign, a framework designed to…