Leveraging native language speech for accent identification using deep Siamese networks. - Aditya Siddhant; Preethi Jyothi; Sriram Ganapathy (ASRU, 2017)

Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study. - Aditya Siddhant; Zachary C. Lipton (EMNLP, 2018)

VoCoG: An Intelligent, Non-Intrusive Assistant for Voice-based Collaborative Group-Viewing. - Sumit Shekhar; Aditya Siddhant; Anindya Shankar Bhandari; Nishant Yadav (CoRR, 2018)

Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents. - Aditya Siddhant; Anuj Kumar Goyal; Angeliki Metallinou (AAAI, 2019)

Domain Adaptation of SRL Systems for Biological Processes. - Dheeraj Rajagopal; Nidhi Vyas; Aditya Siddhant; Anirudha Rayasam; Niket Tandon; Eduard H. Hovy (BioNLP@ACL, 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)

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 001 (CoRR, 2019)

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 001 (AAAI, 2020)

Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation. - Aditya Siddhant; Ankur Bapna; Yuan Cao 007; Orhan Firat; Mia Xu Chen; Sneha Reddy Kudugunta; Naveen Arivazhagan; Yonghui Wu (ACL, 2020)

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation. - Junjie Hu 001; Sebastian Ruder; Aditya Siddhant; Graham Neubig; Orhan Firat; Melvin Johnson (ICML, 2020)

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

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization. - Junjie Hu 001; Sebastian Ruder; Aditya Siddhant; Graham Neubig; Orhan Firat; Melvin Johnson (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)

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. - Sebastian Ruder; Noah Constant; Jan A. Botha; Aditya Siddhant; Orhan Firat; Jinlan Fu; Pengfei Liu 003; Junjie Hu 001; Dan Garrette; Graham Neubig; Melvin Johnson (EMNLP (1), 2021)

Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages. - Xavier Garcia; Aditya Siddhant; Orhan Firat; Ankur P. Parikh (NAACL-HLT, 2021)

Explicit Alignment Objectives for Multilingual Bidirectional Encoders. - Junjie Hu 001; Melvin Johnson; Orhan Firat; Aditya Siddhant; Graham Neubig (NAACL-HLT, 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)

Distilling Large Language Models into Tiny and Effective Students using pQRNN. - Prabhu Kaliamoorthi; Aditya Siddhant; Edward Li; Melvin Johnson (CoRR, 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 003; Junjie Hu 001; Graham Neubig; Melvin Johnson (CoRR, 2021)

DOCmT5: Document-Level Pretraining of Multilingual Language Models. - Chia-Hsuan Lee 001; Aditya Siddhant; Viresh Ratnakar; Melvin Johnson (NAACL-HLT (Findings), 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 007; Mia Xu Chen; Isaac Caswell; Xavier Garcia (CoRR, 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; et al. (CoRR, 2022)

Dialect-robust Evaluation of Generated Text. - Jiao Sun; Thibault Sellam; Elizabeth Clark; Tu Vu; Timothy Dozat; Dan Garrette; Aditya Siddhant; Jacob Eisenstein; Sebastian Gehrmann (ACL (1), 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 001; Ankur P. Parikh (EMNLP, 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 (WMT, 2023)

Reinforced Self-Training (ReST) for Language Modeling. - Çaglar Gülçehre; Tom Le Paine; Srivatsan Srinivasan; Ksenia Konyushkova; Lotte Weerts; Abhishek Sharma 015; Aditya Siddhant; Alex Ahern; Miaosen Wang; Chenjie Gu; Wolfgang Macherey; Arnaud Doucet; et al. (CoRR, 2023)