Mihir Kale
Mihir Kale
Verified email at google.com
Cited by
Cited by
mt5: A massively multilingual pre-trained text-to-text transformer
L Xue, N Constant, A Roberts, M Kale, R Al-Rfou, A Siddhant, A Barua, ...
arXiv preprint arXiv:2010.11934, 2020
Text-to-text pre-training for data-to-text tasks
M Kale, A Rastogi
arXiv preprint arXiv:2005.10433, 2020
The gem benchmark: Natural language generation, its evaluation and metrics
S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ...
arXiv preprint arXiv:2102.01672, 2021
Text-to-text pre-training for data-totext tasks
M Kale
arXiv preprint arXiv:2005.10433, 2020
ByT5: Towards a token-free future with pre-trained byte-to-byte models
L Xue, A Barua, N Constant, R Al-Rfou, S Narang, M Kale, A Roberts, ...
arXiv preprint arXiv:2105.13626, 2021
Few-shot natural language generation by rewriting templates
M Kale, A Rastogi
arXiv e-prints, arXiv: 2004.15006, 2020
Template guided text generation for task-oriented dialogue
M Kale, A Rastogi
arXiv preprint arXiv:2004.15006, 2020
Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture
G Larionov, Z Kaden, HV Dureddy, GBT Kalejaiye, M Kale, SP Potharaju, ...
arXiv preprint arXiv:1812.01260, 2018
SOPER: discovering the influence of fashion and the many faces of user from session logs using stick breaking process
L Dhakad, M Das, C Bhattacharyya, S Datta, M Kale, V Mehta
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
Machine translation aided bilingual data-to-text generation and semantic parsing
O Agarwal, M Kale, H Ge, S Shakeri, R Al-Rfou
Proceedings of the 3rd International Workshop on Natural Language Generation …, 2020
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems
B Byrne, K Krishnamoorthi, S Ganesh, MS Kale
arXiv preprint arXiv:2012.12458, 2020
Machine Translation Pre-training for Data-to-Text Generation--A Case Study in Czech
M Kale, S Roy
arXiv preprint arXiv:2004.02077, 2020
Incorporating bilingual dictionaries for low resource semi-supervised neural machine translation
S Nag, M Kale, V Lakshminarasimhan, S Singhavi
arXiv preprint arXiv:2004.02071, 2020
nmT5--Is parallel data still relevant for pre-training massively multilingual language models?
M Kale, A Siddhant, N Constant, M Johnson, R Al-Rfou, L Xue
arXiv preprint arXiv:2106.02171, 2021
Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension
S Shakeri, N Constant, MS Kale, L Xue
arXiv e-prints, arXiv: 2010.12008, 2020
Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks
M Kale, A Siddhant, S Nag, R Parik, M Grabmair, A Tomasic
arXiv preprint arXiv:1906.12039, 2019
Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension
S Shakeri, N Constant, M Kale, L Xue
Proceedings of the 14th International Conference on Natural Language …, 2021
Automatic Construction of Evaluation Suites for Natural Language Generation Datasets
S Mille, KD Dhole, S Mahamood, L Perez-Beltrachini, V Gangal, M Kale, ...
arXiv preprint arXiv:2106.09069, 2021
MixOut: A Simple Yet Effective Data Augmentation Scheme for Slot-Filling
M Kale, A Siddhant
Conversational Dialogue Systems for the Next Decade, 279-288, 2021
Using Machine Translation to Localize Task Oriented NLG Output
S Roy, C Brunk, KY Kim, J Zhao, M Freitag, M Kale, G Bansal, S Mudgal, ...
arXiv preprint arXiv:2107.04512, 2021
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