SOPER: Discovering the Influence of Fashion and the Many Faces of User from Session Logs using Stick Breaking Process. - Lucky Dhakad; Mrinal Kanti Das; Chiranjib Bhattacharyya; Samik Datta; Mihir Kale; Vivek Mehta (CIKM, 2017)

Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture. - George Larionov; Zachary Kaden; Hima Varsha Dureddy; Gabriel Bayomi Tinoco Kalejaiye; Mihir Kale; Srividya Pranavi Potharaju; Ankit Parag Shah; Alexander I. Rudnicky (CoRR, 2018)

Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks. - Mihir Kale; Aditya Siddhant; Sreyashi Nag; Radhika Parik; Matthias Grabmair; Anthony Tomasic (CoRR, 2019)

Template Guided Text Generation for Task-Oriented Dialogue. - Mihir Kale; Abhinav Rastogi (EMNLP (1), 2020)

Machine Translation Pre-training for Data-to-Text Generation - A Case Study in Czech. - Mihir Kale; Scott Roy (INLG, 2020)

Text-to-Text Pre-Training for Data-to-Text Tasks. - Mihir Kale; Abhinav Rastogi (INLG, 2020)

MixOut: A Simple Yet Effective Data Augmentation Scheme for Slot-Filling. - Mihir Kale; Aditya Siddhant (IWSDS, 2020)

Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation. - Sreyashi Nag; Mihir Kale; Varun Lakshminarasimhan; Swapnil Singhavi (CoRR, 2020)

Few-Shot Natural Language Generation by Rewriting Templates. - Mihir Kale; Abhinav Rastogi (CoRR, 2020)

Text-to-Text Pre-Training for Data-to-Text Tasks. - Mihir Kale (CoRR, 2020)

nmT5 - Is parallel data still relevant for pre-training massively multilingual language models? - Mihir Kale; Aditya Siddhant; Rami Al-Rfou; Linting Xue; Noah Constant; Melvin Johnson (ACL/IJCNLP (2), 2021)

Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension. - Siamak Shakeri; Noah Constant; Mihir Kale; Linting Xue (INLG, 2021)

mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer. - Linting Xue; Noah Constant; Adam Roberts; Mihir Kale; Rami Al-Rfou; Aditya Siddhant; Aditya Barua; Colin Raffel (NAACL-HLT, 2021)

Using Machine Translation to Localize Task Oriented NLG Output. - Scott Roy; Cliff Brunk; Kyu-Young Kim; Justin Zhao; Markus Freitag; Mihir Kale; Gagan Bansal; Sidharth Mudgal; Chris Varano (CoRR, 2021)

Improving Compositional Generalization with Self-Training for Data-to-Text Generation. - Sanket Vaibhav Mehta; Jinfeng Rao; Yi Tay; Mihir Kale; Ankur Parikh; Hongtao Zhong; Emma Strubell (CoRR, 2021)

Improving Compositional Generalization with Self-Training for Data-to-Text Generation. - Sanket Vaibhav Mehta; Jinfeng Rao; Yi Tay; Mihir Kale; Ankur Parikh; Emma Strubell (ACL (1), 2022)

XTREME-S: Evaluating Cross-lingual Speech Representations. - Alexis Conneau; Ankur Bapna; Yu Zhang 033; Min Ma; Patrick von Platen; Anton Lozhkov; Colin Cherry; Ye Jia; Clara Rivera; Mihir Kale; Daan van Esch; Vera Axelrod; et al. (INTERSPEECH, 2022)

Mining Duplicate Questions of Stack Overflow. - Mihir Kale; Anirudha Rayasam; Radhika Parik; Pranav Dheram (CoRR, 2022)

CLSE: Corpus of Linguistically Significant Entities. - Aleksandr Chuklin; Justin Zhao; Mihir Kale (CoRR, 2022)

ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models. - Linting Xue; Aditya Barua; Noah Constant; Rami Al-Rfou; Sharan Narang; Mihir Kale; Adam Roberts; Colin Raffel (Trans. Assoc. Comput. Linguistics, 2022)

XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages. - Sebastian Ruder; Jonathan H. Clark; Alexander Gutkin; Mihir Kale; Min Ma; Massimo Nicosia; Shruti Rijhwani; Parker Riley; Jean Michel A. Sarr; Xinyi Wang 001; John Wieting; Nitish Gupta; et al. (EMNLP (Findings), 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)