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Researcher profile

Oleksii Hrinchuk

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. EMMeTT: Efficient Multimodal Machine Translation Training

    2025

    A rising interest in the modality extension of foundation language models warrants discussion on the most effective, and efficient, multimodal training approach. This work focuses on neural machine translation (NMT) and proposes a joint multimodal …

  2. NeMo: a toolkit for building AI applications using Neural Modules

    2019 · arXiv (Cornell University)

    NeMo (Neural Modules) is a Python framework-agnostic toolkit for creating AI applications through re-usability, abstraction, and composition. NeMo is built around neural modules, conceptual blocks of neural networks that take typed inputs and produce typed …