4 papers · 1 filter
EuroAlpaca: Task-Preserving Localisation of Instruction Data for European Languages
Aleix Sant, Jordi Luque, Carlos Escolano
Machine translation (MT) offers a scalable way to extend English instruction-tuning data to multiple languages, but it can distort task-critical constraints and required outputs, c…
Reference-Free Reinforcement Learning Fine-Tuning for MT: A Seq2Seq Perspective
Ernesto Garcia-Estrada, Carlos Escolano, José A. R. Fonallosa
Production machine translation relies overwhelmingly on encoder-decoder Seq2Seq models, yet reinforcement learning approaches to MT fine-tuning have largely targeted decoder-only L…
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…
MultimodalHugs: Enabling Sign Language Processing in Hugging Face
Gerard Sant, Zifan Jiang, Carlos Escolano +4
In recent years, sign language processing (SLP) has gained importance in the general field of Natural Language Processing. However, compared to research on spoken languages, SLP re…