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Foundation and large language models: fundamentals, challenges, opportunities, and social impacts

D Myers, R Mohawesh, VI Chellaboina, AL Sathvik… - Cluster …, 2024 - Springer
Abstract Foundation and Large Language Models (FLLMs) are models that are trained using
a massive amount of data with the intent to perform a variety of downstream tasks. FLLMs …
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[PDF] ieee.org

Low-resource neural machine translation: A systematic literature review

BK Yazar, DÖ Şahın, E Kiliç - IEEE Access, 2023 - ieeexplore.ieee.org
In this study, a systematic literature review was conducted to examine the significant works
in the literature on low-resource neural machine translation. Within the scope of the study …
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[PDF] arxiv.org

Continual sequence generation with adaptive compositional modules

Y Zhang, X Wang, D Yang - ar** and fusing transformer layers for neural machine translation
J Yang, Y Yin, L Yang, S Ma, H Huang… - … on Audio, Speech …, 2022 - ieeexplore.ieee.org
Transformer structure, stacked by a sequence of encoder and decoder network layers,
achieves significant development in neural machine translation. However, vanilla …
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Non-parametric unsupervised domain adaptation for neural machine translation

X Zheng, Z Zhang, S Huang, B Chen, J ** as an emerging field in natural language
processing (NLP). Legal texts contain unique jargon and complex linguistic attributes in …
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