Aditya Siddhant

According to our database, Aditya Siddhant authored at least 26 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Reinforced Self-Training (ReST) for Language Modeling.

Çaglar Gülçehre, Tom Le Paine, Srivatsan Srinivasan, Ksenia Konyushkova, Lotte Weerts, Abhishek Sharma, Aditya Siddhant, Alex Ahern, Miaosen Wang, Chenjie Gu, Wolfgang Macherey, Arnaud Doucet, Orhan Firat, Nando de Freitas

CoRR, 2023

MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task.

Juraj Juraska, Mara Finkelstein, Daniel Deutsch, Aditya Siddhant, Mehdi Mirzazadeh, Markus Freitag

Proceedings of the Eighth Conference on Machine Translation, 2023

SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation.

Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, Vitaly Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur P. Parikh

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Dialect-robust Evaluation of Generated Text.

Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Building Machine Translation Systems for the Next Thousand Languages.

Ankur Bapna, Isaac Caswell, Julia Kreutzer, Orhan Firat, Daan van Esch, Aditya Siddhant, Mengmeng Niu, Pallavi Baljekar, Xavier Garcia, Wolfgang Macherey, Theresa Breiner, Vera Axelrod, Jason Riesa, Yuan Cao, Mia Xu Chen, Klaus Macherey, Maxim Krikun, Pidong Wang, Alexander Gutkin, Apurva Shah, Yanping Huang, Zhifeng Chen, Yonghui Wu, Macduff Hughes

CoRR, 2022

Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning.

Aditya Siddhant, Ankur Bapna, Orhan Firat, Yuan Cao, Mia Xu Chen, Isaac Caswell, Xavier Garcia

CoRR, 2022

DOCmT5: Document-Level Pretraining of Multilingual Language Models.

Chia-Hsuan Lee, Aditya Siddhant, Viresh Ratnakar, Melvin Johnson

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.

Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Graham Neubig, Melvin Johnson

CoRR, 2021

Distilling Large Language Models into Tiny and Effective Students using pQRNN.

Prabhu Kaliamoorthi, Aditya Siddhant, Edward Li, Melvin Johnson

CoRR, 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

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Explicit Alignment Objectives for Multilingual Bidirectional Encoders.

Junjie Hu, Melvin Johnson, Orhan Firat, Aditya Siddhant, Graham Neubig

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages.

Xavier Garcia, Aditya Siddhant, Orhan Firat, Ankur P. Parikh

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.

Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, Melvin Johnson

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization.

Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson

CoRR, 2020

MixOut: A Simple Yet Effective Data Augmentation Scheme for Slot-Filling.

Mihir Kale, Aditya Siddhant

Proceedings of the Conversational Dialogue Systems for the Next Decade, 2020

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation.

Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson

Proceedings of the 37th International Conference on Machine Learning, 2020

Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation.

Aditya Siddhant, Ankur Bapna, Yuan Cao, Orhan Firat, Mia Xu Chen, Sneha Reddy Kudugunta, Naveen Arivazhagan, Yonghui Wu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation.

Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Ari, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation.

Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Arivazhagan, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman

CoRR, 2019

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

Domain Adaptation of SRL Systems for Biological Processes.

Dheeraj Rajagopal, Nidhi Vyas, Aditya Siddhant, Anirudha Rayasam, Niket Tandon, Eduard H. Hovy

Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents.

Aditya Siddhant, Anuj Kumar Goyal, Angeliki Metallinou

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

VoCoG: An Intelligent, Non-Intrusive Assistant for Voice-based Collaborative Group-Viewing.

Sumit Shekhar, Aditya Siddhant, Anindya Shankar Bhandari, Nishant Yadav

CoRR, 2018

Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study.

Aditya Siddhant, Zachary C. Lipton

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Leveraging native language speech for accent identification using deep Siamese networks.

Aditya Siddhant, Preethi Jyothi, Sriram Ganapathy

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017