D Aggarwal, V Gupta, A Kunchukuttan - arXiv preprint arXiv:2304.13005, 2023
… Multi-lingual Models Capacity: In this work, we explore the unique task of
translating and pars… on the Translate Test setting for monolingual models, we find
that pre-training language … mBARTlarge-50 denoising based seq2seq pre-training …
J Yang, H Jin, R Tang, X Han, Q Feng, H Jiang, B Yin… - arXiv preprint arXiv …, 2023
… In machine translation (MT), LLMs can perform competent translation, although
the average … If more multi-lingual texts can be added to the pre-training data, the
translation capability … The idealized denoised inference time for the InstructGPT …
P Tiwari, S Rai, CR Chowdary - 2023
… However, authors in [23] created a directory that contained 3000 multi-lingual
words, among … higher compared to the variation in model with pre-training
embedding. Since pre-trained … In our work, we used various noise removal steps …
Y Su, Y Ji, J Li, H Ye, M Zhang - arXiv preprint arXiv:2304.12764, 2023
… Bert: Pre-training of deep bidirectional transformers for language understanding.
In Proceedings of the 2019 Conference of the North … Bart: Denoising sequence-to-sequence
pre-training for natural language generation, translation, and comprehension. In …
Multi-lingual denoising pre-training for neural machine translation - new results
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