2 papers
cs.CL2025
Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models
George-Andrei Dima, Răzvan-Alexandru Smădu, Dumitru-Clementin Cercel
Focusing on low-resource languages is an essential step toward democratizing generative AI. In this work, we contribute to reducing the multimodal NLP resource gap for Romanian. We…
cs.CL2024
RoQLlama: A Lightweight Romanian Adapted Language Model
George-Andrei Dima, Andrei-Marius Avram, Cristian-George Crăciun +1
The remarkable achievements obtained by open-source large language models (LLMs) in recent years have predominantly been concentrated on tasks involving the English language. In th…