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nmT5 -- Is parallel data still relevant for pre-training massively multilingual language models?


Jun 03, 2021
Mihir Kale, Aditya Siddhant, Noah Constant, Melvin Johnson, Rami Al-Rfou, Linting Xue

* Accepted at ACL-IJCNLP 2021 

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ByT5: Towards a token-free future with pre-trained byte-to-byte models


May 28, 2021
Linting Xue, Aditya Barua, Noah Constant, Rami Al-Rfou, Sharan Narang, Mihir Kale, Adam Roberts, Colin Raffel


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mT5: A massively multilingual pre-trained text-to-text transformer


Oct 23, 2020
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, Colin Raffel


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Text-to-Text Pre-Training for Data-to-Text Tasks


May 22, 2020
Mihir Kale


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Few-Shot Natural Language Generation by Rewriting Templates


Apr 30, 2020
Mihir Kale, Abhinav Rastogi


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Machine Translation Pre-training for Data-to-Text Generation -- A Case Study in Czech


Apr 05, 2020
Mihir Kale, Scott Roy


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Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation


Apr 05, 2020
Sreyashi Nag, Mihir Kale, Varun Lakshminarasimhan, Swapnil Singhavi


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Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks


Jun 28, 2019
Mihir Kale, Aditya Siddhant, Sreyashi Nag, Radhika Parik, Matthias Grabmair, Anthony Tomasic

* Appeared in 2nd Learning from Limited Labeled Data (LLD) Workshop at ICLR 2019 

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Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture


Dec 04, 2018
George Larionov, Zachary Kaden, Hima Varsha Dureddy, Gabriel Bayomi T. Kalejaiye, Mihir Kale, Srividya Pranavi Potharaju, Ankit Parag Shah, Alexander I Rudnicky


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