Multi-Task Deep Neural Networks for Natural Language Understanding · HackerPapers discussions

Multi-Task Deep Neural Networks for Natural Language Understanding — mentioned by alephnerd

Tue, 17 Sep 2024 03:07:30 GMT

> Care to give some examples In the 2010s they were the leader in NLP and the precursor of LLMs like GPT3/3.5/4/4o Machine Translation with Human Parity (2018) - https://arxiv.org/abs/1803.05567 MT-DNN (2019) - https://arxiv.org/abs/1901.11504 MASS (2019) - https://arxiv.org/abs/1905.02450 VALL-E (2023) - https://arxiv.org/abs/2301.02111 VALL-E 2 (2024) - https://arxiv.org/abs/2406.05370 While OpenAI was the first to monetize an LLM at scale via ChatGPT, it's still the early stages of this field, and there is a lot of innovation that can still be leveraged, especially in non-English language…

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Multi-Task Deep Neural Networks for Natural Language Understanding — mentioned by aboutruby

Sun, 17 Feb 2019 09:34:06 GMT

Link to the paper: https://arxiv.org/pdf/1901.11504.pdf

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Multi-Task Deep Neural Networks for Natural Language Understanding — mentioned by yorwba

Sat, 16 Feb 2019 23:19:11 GMT

The paper has been on arXiv for a while already. https://arxiv.org/abs/1901.11504 Maybe Microsoft doesn't feel like making a big splash about their research?

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Multi-Task Deep Neural Networks for Natural Language Understanding — HN submission

Sat, 16 Feb 2019 22:59:10 GMT

New Multi-Task Deep Neural Network for Natural Language Understanding

3 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.