4 papers
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…
Breaking Language Barriers in Visual Language Models via Multilingual Textual Regularization
Iñigo Pikabea, Iñaki Lacunza, Oriol Pareras +4
Rapid advancements in Visual Language Models (VLMs) have transformed multimodal understanding but are often constrained by generating English responses regardless of the input lang…