Browsing by Autor "Manuel Mosquera"

Now showing 1 - 3 of 3

Improving Low-Resource Translation with Dictionary-Guided Fine-Tuning and RL: A Spanish-to-Wayuunaiki Study
(2026) Association for Artificial Intelligence 2026; Rubén Manrique; Manuel Mosquera; Johan Portela; Melissa Robles
Low-resource machine translation remains a significant challenge for large language models (LLMs), which often lack exposure to these languages during pretraining and have limited parallel data for fine-tuning. We propose a novel approach that enhances translation for low-resource languages by integrating an external dictionary tool and training models end-to-end using reinforcement learning, in addition to supervised fine-tuning. Focusing on the Spanish–Wayuunaiki language pair, we frame translation as a tool-augmented decision-making problem in which the model can selectively consult a bilingual dictionary during generation. Our method combines supervised instruction tuning with Group Relative Policy Optimization (GRPO), enabling the model to learn both when and how to use the tool effectively. BLEU similarity scores are used as rewards to guide this learning process. Preliminary results show that our tool-augmented models achieve up to +3.37 BLEU improvement over previous work, and a 18\% relative gain compared to a supervised baseline without dictionary access, on the Spanish–Wayuunaiki test set from the AmericasNLP 2025 Shared Task. We also conduct ablation studies to assess the effects of model architecture and training strategy, comparing Qwen2.5-0.5B-Instruct with other models such as LLaMA and a prior NLLB-based system. These findings highlight the promise of combining LLMs with external tools and the role of reinforcement learning in improving translation quality in low-resource language settings.
Latin American formal consensus on the appropriate indications of extra-articular lateral procedures in primary anterior cruciate ligament reconstruction
(Elsevier BV, 2022) Maximiliano Barahona; Manuel Mosquera; Vitor Barion Castro de Pádua; Hernán Galán; Juan Del Castillo; Sebastián Mejía; Fernando Bacarreza; Olman Araya; André Kühn; Alex Vaisman
Latin American formal consensus on the indications for the surgical treatment of massive and irreparable rotator cuff tears
(Elsevier BV, 2024) Diego A. Sánchez Cruz; Manuel Mosquera; Luciano Andrés Rossi; Paul Patiño; Roberto Yukio Ikemoto; Jorge Rengifo Miguel; Fernando Suárez González; Pablo Vargas C; Christian M. Lozano; Paulo José Llinás Hernández
V.