Ankur P. Parikh

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 51

Top Topics

Question Answering

Mixed Membership

Text Generation

Tensor Decomposition

Top Venues

Publications

Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, Vitaly Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur P. Parikh
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation. EMNLP (2023)
Vishakh Padmakumar, Richard Yuanzhe Pang, He He, Ankur P. Parikh
Extrapolative Controlled Sequence Generation via Iterative Refinement. CoRR (2023)
Richard Yuanzhe Pang, Vishakh Padmakumar, Thibault Sellam, Ankur P. Parikh, He He
Reward Gaming in Conditional Text Generation. ACL (1) (2023)
Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, Vitaly Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur P. Parikh
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation. CoRR (2023)
Vishakh Padmakumar, Richard Yuanzhe Pang, He He, Ankur P. Parikh
Extrapolative Controlled Sequence Generation via Iterative Refinement. ICML (2023)
Sebastian Gehrmann, Sebastian Ruder, Vitaly Nikolaev, Jan A. Botha, Michael Chavinda, Ankur P. Parikh, Clara Rivera
TaTA: A Multilingual Table-to-Text Dataset for African Languages. EMNLP (Findings) (2023)
Thibault Sellam, Ankur Bapna, Joshua Camp, Diana Mackinnon, Ankur P. Parikh, Jason Riesa
SQuId: Measuring Speech Naturalness in Many Languages. ICASSP (2023)
Thibault Sellam, Ankur Bapna, Joshua Camp, Diana Mackinnon, Ankur P. Parikh, Jason Riesa
SQuId: Measuring Speech Naturalness in Many Languages. CoRR (2022)
Sebastian Gehrmann, Sebastian Ruder, Vitaly Nikolaev, Jan A. Botha, Michael Chavinda, Ankur P. Parikh, Clara Rivera
TaTa: A Multilingual Table-to-Text Dataset for African Languages. CoRR (2022)
Tao Lei, Ran Tian, Jasmijn Bastings, Ankur P. Parikh
Simple Recurrence Improves Masked Language Models. CoRR (2022)
Ran Tian, Ankur P. Parikh
Amos: An Adam-style Optimizer with Adaptive Weight Decay towards Model-Oriented Scale. CoRR (2022)
Diyi Yang, Ankur P. Parikh, Colin Raffel
Learning with Limited Text Data. ACL (tutorial) (2022)
Richard Yuanzhe Pang, Vishakh Padmakumar, Thibault Sellam, Ankur P. Parikh, He He
Reward Gaming in Conditional Text Generation. CoRR (2022)
Xavier Garcia, Aditya Siddhant, Orhan Firat, Ankur P. Parikh
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages. NAACL-HLT (2021)
Ran Tian, Joshua Maynez, Ankur P. Parikh
Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning. CoRR (2021)
Amy Pu, Hyung Won Chung, Ankur P. Parikh, Sebastian Gehrmann, Thibault Sellam
Learning Compact Metrics for MT. EMNLP (1) (2021)
Xavier Garcia, Noah Constant, Ankur P. Parikh, Orhan Firat
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution. NAACL-HLT (2021)
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
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR (2021)
Xavier Garcia, Noah Constant, Ankur P. Parikh, Orhan Firat
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution. CoRR (2021)
Amy Pu, Hyung Won Chung, Ankur P. Parikh, Sebastian Gehrmann, Thibault Sellam
Learning Compact Metrics for MT. CoRR (2021)
Thibault Sellam, Amy Pu, Hyung Won Chung, Sebastian Gehrmann, Qijun Tan, Markus Freitag, Dipanjan Das, Ankur P. Parikh
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task. WMT@EMNLP (2020)
Xavier Garcia, Pierre Foret, Thibault Sellam, Ankur P. Parikh
A Multilingual View of Unsupervised Machine Translation. CoRR (2020)
Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, Dipanjan Das
ToTTo: A Controlled Table-To-Text Generation Dataset. EMNLP (1) (2020)
Thibault Sellam, Dipanjan Das, Ankur P. Parikh
BLEURT: Learning Robust Metrics for Text Generation. ACL (2020)
Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, Dipanjan Das
ToTTo: A Controlled Table-To-Text Generation Dataset. CoRR (2020)
Thibault Sellam, Amy Pu, Hyung Won Chung, Sebastian Gehrmann, Qijun Tan, Markus Freitag, Dipanjan Das, Ankur P. Parikh
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task. CoRR (2020)
Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer
Thieves on Sesame Street! Model Extraction of BERT-based APIs. ICLR (2020)
Xavier Garcia, Pierre Foret, Thibault Sellam, Ankur P. Parikh
A Multilingual View of Unsupervised Machine Translation. EMNLP (Findings) (2020)
Thibault Sellam, Dipanjan Das, Ankur P. Parikh
BLEURT: Learning Robust Metrics for Text Generation. CoRR (2020)
Xavier Garcia, Aditya Siddhant, Orhan Firat, Ankur P. Parikh
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages. CoRR (2020)
Min Joon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index. CoRR (2019)
Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. ACL (1) (2019)
Maruan Al-Shedivat, Ankur P. Parikh
Consistency by Agreement in Zero-shot Neural Machine Translation. CoRR (2019)
Ran Tian, Shashi Narayan, Thibault Sellam, Ankur P. Parikh
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation. CoRR (2019)
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
Natural Questions: a Benchmark for Question Answering Research. Trans. Assoc. Comput. Linguistics 7 (2019)
Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer
Thieves on Sesame Street! Model Extraction of BERT-based APIs. CoRR (2019)
Maruan Al-Shedivat, Ankur P. Parikh
Consistency by Agreement in Zero-Shot Neural Machine Translation. NAACL-HLT (1) (2019)
Min Joon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index. ACL (1) (2019)
Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. CoRR (2019)
Hao Peng, Ankur P. Parikh, Manaal Faruqui, Bhuwan Dhingra, Dipanjan Das
Text Generation with Exemplar-based Adaptive Decoding. CoRR (2019)
Hao Peng, Ankur P. Parikh, Manaal Faruqui, Bhuwan Dhingra, Dipanjan Das
Text Generation with Exemplar-based Adaptive Decoding. NAACL-HLT (1) (2019)
Micol Marchetti-Bowick, Benjamin J. Lengerich, Ankur P. Parikh, Eric P. Xing
Hybrid Subspace Learning for High-Dimensional Data. CoRR (2018)
Min Joon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension. EMNLP (2018)
Min Joon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension. CoRR (2018)
Hao Cheng, Ming-Wei Chang, Kenton Lee, Ankur P. Parikh, Michael Collins, Kristina Toutanova
Improving Span-based Question Answering Systems with Coarsely Labeled Data. CoRR (2018)
Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski
Multi-Mention Learning for Reading Comprehension with Neural Cascades. ICLR (Poster) (2018)
Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski
Multi-Mention Learning for Reading Comprehension with Neural Cascades. CoRR (2017)
Ankur P. Parikh, Oscar Täckström, Dipanjan Das, Jakob Uszkoreit
A Decomposable Attention Model for Natural Language Inference. EMNLP (2016)
Ankur P. Parikh, Oscar Täckström, Dipanjan Das, Jakob Uszkoreit
A Decomposable Attention Model for Natural Language Inference. CoRR (2016)
Kenton Lee, Tom Kwiatkowski, Ankur P. Parikh, Dipanjan Das
Learning Recurrent Span Representations for Extractive Question Answering. CoRR (2016)
Ankur P. Parikh, Hoifung Poon, Kristina Toutanova
Grounded Semantic Parsing for Complex Knowledge Extraction. HLT-NAACL (2015)
Avneesh Saluja, Mahdi Pakdaman, Dongzhen Piao, Ankur P. Parikh
Infinite Mixed Membership Matrix Factorization. CoRR (2014)
Ankur P. Parikh, Avneesh Saluja, Chris Dyer, Eric P. Xing
Language Modeling with Power Low Rank Ensembles. EMNLP (2014)
Ankur P. Parikh, Wei Wu, Eric P. Xing
Robust Reverse Engineering of Dynamic Gene Networks Under Sample Size Heterogeneity. Pacific Symposium on Biocomputing (2014)
Ankur P. Parikh, Shay B. Cohen, Eric P. Xing
Spectral Unsupervised Parsing with Additive Tree Metrics. ACL (1) (2014)
Ankur P. Parikh, Ross E. Curtis, Irene Kuhn, Sabine Becker-Weimann, Mina J. Bissell, Eric P. Xing, Wei Wu
Network Analysis of Breast Cancer Progression and Reversal Using a Tree-Evolving Network Algorithm. PLoS Comput. Biol. 10 (7) (2014)
Ankur P. Parikh, Avneesh Saluja, Chris Dyer, Eric P. Xing
Language Modeling with Power Low Rank Ensembles. CoRR (2013)
Avneesh Saluja, Mahdi Pakdaman, Dongzhen Piao, Ankur P. Parikh
Infinite Mixed Membership Matrix Factorization. ICDM Workshops (2013)
Le Song, Mariya Ishteva, Ankur P. Parikh, Eric P. Xing, Haesun Park
Hierarchical Tensor Decomposition of Latent Tree Graphical Models. ICML (3) (2013)
Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing
A Spectral Algorithm for Latent Junction Trees. UAI (2012)
Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing
A Spectral Algorithm for Latent Junction Trees CoRR (2012)
Ross E. Curtis, Jing Xiang, Ankur P. Parikh, Peter Kinnaird, Eric P. Xing
Enabling dynamic network analysis through visualization in TVNViewer. BMC Bioinform. 13 (2012)
Ankur P. Parikh, Le Song, Eric P. Xing
A Spectral Algorithm for Latent Tree Graphical Models. ICML (2011)
Qirong Ho, Ankur P. Parikh, Le Song, Eric P. Xing
Multiscale Community Blockmodel for Network Exploration. AISTATS (2011)
Le Song, Ankur P. Parikh, Eric P. Xing
Kernel Embeddings of Latent Tree Graphical Models. NIPS (2011)
Ankur P. Parikh, Wei Wu, Ross E. Curtis, Eric P. Xing
TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages. Bioinform. 27 (13) (2011)
Mladen Kolar, Ankur P. Parikh, Eric P. Xing
On Sparse Nonparametric Conditional Covariance Selection. ICML (2010)