Ankur P. Parikh

According to our database, Ankur P. Parikh authored at least 45 papers between 2010 and 2023.

Collaborative distances:

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

2023

Extrapolative Controlled Sequence Generation via Iterative Refinement.

Vishakh Padmakumar, Richard Yuanzhe Pang, He He, Ankur P. Parikh

Proceedings of the International Conference on Machine Learning, 2023

SQuId: Measuring Speech Naturalness in Many Languages.

Thibault Sellam, Ankur Bapna, Joshua Camp, Diana Mackinnon, Ankur P. Parikh, Jason Riesa

Proceedings of the IEEE International Conference on Acoustics, 2023

TaTA: A Multilingual Table-to-Text Dataset for African Languages.

Sebastian Gehrmann, Sebastian Ruder, Vitaly Nikolaev, Jan A. Botha, Michael Chavinda, Ankur P. Parikh, Clara Rivera

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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

Reward Gaming in Conditional Text Generation.

Richard Yuanzhe Pang, Vishakh Padmakumar, Thibault Sellam, Ankur P. Parikh, He He

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

2022

Amos: An Adam-style Optimizer with Adaptive Weight Decay towards Model-Oriented Scale.

Ran Tian, Ankur P. Parikh

CoRR, 2022

Simple Recurrence Improves Masked Language Models.

Tao Lei, Ran Tian, Jasmijn Bastings, Ankur P. Parikh

CoRR, 2022

Learning with Limited Text Data.

Diyi Yang, Ankur P. Parikh, Colin Raffel

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning.

Ran Tian, Joshua Maynez, Ankur P. Parikh

CoRR, 2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.

Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou

CoRR, 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

Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution.

Xavier Garcia, Noah Constant, Ankur P. Parikh, Orhan Firat

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

Learning Compact Metrics for MT.

Amy Pu, Hyung Won Chung, Ankur P. Parikh, Sebastian Gehrmann, Thibault Sellam

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

2020

Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task.

Thibault Sellam, Amy Pu, Hyung Won Chung, Sebastian Gehrmann, Qijun Tan, Markus Freitag, Dipanjan Das, Ankur P. Parikh

Proceedings of the Fifth Conference on Machine Translation, 2020

Thieves on Sesame Street! Model Extraction of BERT-based APIs.

Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer

Proceedings of the 8th International Conference on Learning Representations, 2020

ToTTo: A Controlled Table-To-Text Generation Dataset.

Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, Dipanjan Das

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Multilingual View of Unsupervised Machine Translation.

Xavier Garcia, Pierre Foret, Thibault Sellam, Ankur P. Parikh

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

BLEURT: Learning Robust Metrics for Text Generation.

Thibault Sellam, Dipanjan Das, Ankur P. Parikh

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

2019

Natural Questions: a Benchmark for Question Answering Research.

Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur P. Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, Slav Petrov

Trans. Assoc. Comput. Linguistics, 2019

Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation.

Ran Tian, Shashi Narayan, Thibault Sellam, Ankur P. Parikh

CoRR, 2019

Text Generation with Exemplar-based Adaptive Decoding.

Hao Peng, Ankur P. Parikh, Manaal Faruqui, Bhuwan Dhingra, Dipanjan Das

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Consistency by Agreement in Zero-Shot Neural Machine Translation.

Maruan Al-Shedivat, Ankur P. Parikh

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index.

Min Joon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation.

Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Improving Span-based Question Answering Systems with Coarsely Labeled Data.

Hao Cheng, Ming-Wei Chang, Kenton Lee, Ankur P. Parikh, Michael Collins, Kristina Toutanova

CoRR, 2018

Hybrid Subspace Learning for High-Dimensional Data.

Micol Marchetti-Bowick, Benjamin J. Lengerich, Ankur P. Parikh, Eric P. Xing

CoRR, 2018

Multi-Mention Learning for Reading Comprehension with Neural Cascades.

Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski

Proceedings of the 6th International Conference on Learning Representations, 2018

Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension.

Min Joon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi

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

2016

Learning Recurrent Span Representations for Extractive Question Answering.

Kenton Lee, Tom Kwiatkowski, Ankur P. Parikh, Dipanjan Das

CoRR, 2016

A Decomposable Attention Model for Natural Language Inference.

Ankur P. Parikh, Oscar Täckström, Dipanjan Das, Jakob Uszkoreit

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Spectral Probablistic Modeling and Applications to Natural Language Processing.

Ankur P. Parikh

PhD thesis, 2015

Grounded Semantic Parsing for Complex Knowledge Extraction.

Ankur P. Parikh, Hoifung Poon, Kristina Toutanova

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

Network Analysis of Breast Cancer Progression and Reversal Using a Tree-Evolving Network Algorithm.

Ankur P. Parikh, Ross E. Curtis, Irene Kuhn, Sabine Becker-Weimann, Mina J. Bissell, Eric P. Xing, Wei Wu

PLoS Comput. Biol., 2014

Robust Reverse Engineering of Dynamic Gene Networks Under Sample Size Heterogeneity.

Ankur P. Parikh, Wei Wu, Eric P. Xing

Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

Language Modeling with Power Low Rank Ensembles.

Ankur P. Parikh, Avneesh Saluja, Chris Dyer, Eric P. Xing

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Spectral Unsupervised Parsing with Additive Tree Metrics.

Ankur P. Parikh, Shay B. Cohen, Eric P. Xing

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Hierarchical Tensor Decomposition of Latent Tree Graphical Models.

Le Song, Mariya Ishteva, Ankur P. Parikh, Eric P. Xing, Haesun Park

Proceedings of the 30th International Conference on Machine Learning, 2013

Infinite Mixed Membership Matrix Factorization.

Avneesh Saluja, Mahdi Pakdaman, Dongzhen Piao, Ankur P. Parikh

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012

Enabling dynamic network analysis through visualization in TVNViewer.

Ross E. Curtis, Jing Xiang, Ankur P. Parikh, Peter Kinnaird, Eric P. Xing

BMC Bioinform., 2012

A Spectral Algorithm for Latent Junction Trees.

Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011

Multiscale Community Blockmodel for Network Exploration.

Qirong Ho, Ankur P. Parikh, Le Song, Eric P. Xing

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages.

Ankur P. Parikh, Wei Wu, Ross E. Curtis, Eric P. Xing

Bioinform., 2011

Kernel Embeddings of Latent Tree Graphical Models.

Le Song, Ankur P. Parikh, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A Spectral Algorithm for Latent Tree Graphical Models.

Ankur P. Parikh, Le Song, Eric P. Xing

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

On Sparse Nonparametric Conditional Covariance Selection.

Mladen Kolar, Ankur P. Parikh, Eric P. Xing

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010