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Ankur P. Parikh
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2020 – today
- 2023
- [c32]Richard Yuanzhe Pang, Vishakh Padmakumar, Thibault Sellam, Ankur P. Parikh, He He:
Reward Gaming in Conditional Text Generation. ACL (1) 2023: 4746-4763 - [c31]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: 1719-1740 - [c30]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: 9397-9413 - [c29]Thibault Sellam, Ankur Bapna, Joshua Camp, Diana Mackinnon, Ankur P. Parikh, Jason Riesa:
SQuId: Measuring Speech Naturalness in Many Languages. ICASSP 2023: 1-5 - [c28]Vishakh Padmakumar, Richard Yuanzhe Pang, He He, Ankur P. Parikh:
Extrapolative Controlled Sequence Generation via Iterative Refinement. ICML 2023: 26792-26808 - [i31]Vishakh Padmakumar, Richard Yuanzhe Pang, He He, Ankur P. Parikh:
Extrapolative Controlled Sequence Generation via Iterative Refinement. CoRR abs/2303.04562 (2023) - [i30]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 abs/2305.13194 (2023) - 2022
- [c27]Diyi Yang, Ankur P. Parikh, Colin Raffel:
Learning with Limited Text Data. ACL (tutorial) 2022: 28-31 - [i29]Tao Lei, Ran Tian, Jasmijn Bastings, Ankur P. Parikh:
Simple Recurrence Improves Masked Language Models. CoRR abs/2205.11588 (2022) - [i28]Thibault Sellam, Ankur Bapna, Joshua Camp, Diana Mackinnon, Ankur P. Parikh, Jason Riesa:
SQuId: Measuring Speech Naturalness in Many Languages. CoRR abs/2210.06324 (2022) - [i27]Ran Tian, Ankur P. Parikh:
Amos: An Adam-style Optimizer with Adaptive Weight Decay towards Model-Oriented Scale. CoRR abs/2210.11693 (2022) - [i26]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 abs/2211.00142 (2022) - [i25]Richard Yuanzhe Pang, Vishakh Padmakumar, Thibault Sellam, Ankur P. Parikh, He He:
Reward Gaming in Conditional Text Generation. CoRR abs/2211.08714 (2022) - 2021
- [c26]Amy Pu, Hyung Won Chung, Ankur P. Parikh, Sebastian Gehrmann, Thibault Sellam:
Learning Compact Metrics for MT. EMNLP (1) 2021: 751-762 - [c25]Xavier Garcia, Aditya Siddhant, Orhan Firat, Ankur P. Parikh:
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages. NAACL-HLT 2021: 1126-1137 - [c24]Xavier Garcia, Noah Constant, Ankur P. Parikh, Orhan Firat:
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution. NAACL-HLT 2021: 1184-1192 - [i24]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
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR abs/2102.01672 (2021) - [i23]Xavier Garcia, Noah Constant, Ankur P. Parikh, Orhan Firat:
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution. CoRR abs/2103.06799 (2021) - [i22]Ran Tian, Joshua Maynez, Ankur P. Parikh:
Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning. CoRR abs/2108.13032 (2021) - [i21]Amy Pu, Hyung Won Chung, Ankur P. Parikh, Sebastian Gehrmann, Thibault Sellam:
Learning Compact Metrics for MT. CoRR abs/2110.06341 (2021) - 2020
- [c23]Thibault Sellam, Dipanjan Das, Ankur P. Parikh:
BLEURT: Learning Robust Metrics for Text Generation. ACL 2020: 7881-7892 - [c22]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: 1173-1186 - [c21]Xavier Garcia, Pierre Foret, Thibault Sellam, Ankur P. Parikh:
A Multilingual View of Unsupervised Machine Translation. EMNLP (Findings) 2020: 3160-3170 - [c20]Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer:
Thieves on Sesame Street! Model Extraction of BERT-based APIs. ICLR 2020 - [c19]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: 921-927 - [i20]Xavier Garcia, Pierre Foret, Thibault Sellam, Ankur P. Parikh:
A Multilingual View of Unsupervised Machine Translation. CoRR abs/2002.02955 (2020) - [i19]Thibault Sellam, Dipanjan Das, Ankur P. Parikh:
BLEURT: Learning Robust Metrics for Text Generation. CoRR abs/2004.04696 (2020) - [i18]Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, Dipanjan Das:
ToTTo: A Controlled Table-To-Text Generation Dataset. CoRR abs/2004.14373 (2020) - [i17]Xavier Garcia, Aditya Siddhant, Orhan Firat, Ankur P. Parikh:
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages. CoRR abs/2009.11201 (2020) - [i16]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 abs/2010.04297 (2020)
2010 – 2019
- 2019
- [j4]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: 452-466 (2019) - [c18]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: 4430-4441 - [c17]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: 4884-4895 - [c16]Maruan Al-Shedivat, Ankur P. Parikh:
Consistency by Agreement in Zero-Shot Neural Machine Translation. NAACL-HLT (1) 2019: 1184-1197 - [c15]Hao Peng, Ankur P. Parikh, Manaal Faruqui, Bhuwan Dhingra, Dipanjan Das:
Text Generation with Exemplar-based Adaptive Decoding. NAACL-HLT (1) 2019: 2555-2565 - [i15]Maruan Al-Shedivat, Ankur P. Parikh:
Consistency by Agreement in Zero-shot Neural Machine Translation. CoRR abs/1904.02338 (2019) - [i14]Hao Peng, Ankur P. Parikh, Manaal Faruqui, Bhuwan Dhingra, Dipanjan Das:
Text Generation with Exemplar-based Adaptive Decoding. CoRR abs/1904.04428 (2019) - [i13]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 abs/1906.01081 (2019) - [i12]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 abs/1906.05807 (2019) - [i11]Ran Tian, Shashi Narayan, Thibault Sellam, Ankur P. Parikh:
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation. CoRR abs/1910.08684 (2019) - [i10]Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer:
Thieves on Sesame Street! Model Extraction of BERT-based APIs. CoRR abs/1910.12366 (2019) - 2018
- [c14]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: 559-564 - [c13]Swabha Swayamdipta
Multi-Mention Learning for Reading Comprehension with Neural Cascades. ICLR (Poster) 2018 - [i9]Min Joon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi:
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension. CoRR abs/1804.07726 (2018) - [i8]Micol Marchetti-Bowick, Benjamin J. Lengerich, Ankur P. Parikh, Eric P. Xing:
Hybrid Subspace Learning for High-Dimensional Data. CoRR abs/1808.01687 (2018) - [i7]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 abs/1811.02076 (2018) - 2017
- [i6]Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski:
Multi-Mention Learning for Reading Comprehension with Neural Cascades. CoRR abs/1711.00894 (2017) - 2016
- [c12]Ankur P. Parikh, Oscar Täckström, Dipanjan Das, Jakob Uszkoreit:
A Decomposable Attention Model for Natural Language Inference. EMNLP 2016: 2249-2255 - [i5]Ankur P. Parikh, Oscar Täckström, Dipanjan Das, Jakob Uszkoreit:
A Decomposable Attention Model for Natural Language Inference. CoRR abs/1606.01933 (2016) - [i4]Kenton Lee, Tom Kwiatkowski, Ankur P. Parikh, Dipanjan Das:
Learning Recurrent Span Representations for Extractive Question Answering. CoRR abs/1611.01436 (2016) - 2015
- [b1]Ankur P. Parikh:
Spectral Probablistic Modeling and Applications to Natural Language Processing. Carnegie Mellon University, USA, 2015 - [c11]Ankur P. Parikh, Hoifung Poon, Kristina Toutanova:
Grounded Semantic Parsing for Complex Knowledge Extraction. HLT-NAACL 2015: 756-766 - 2014
- [j3]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) - [c10]Ankur P. Parikh, Shay B. Cohen, Eric P. Xing:
Spectral Unsupervised Parsing with Additive Tree Metrics. ACL (1) 2014: 1062-1072 - [c9]Ankur P. Parikh, Avneesh Saluja, Chris Dyer, Eric P. Xing:
Language Modeling with Power Low Rank Ensembles. EMNLP 2014: 1487-1498 - [c8]Ankur P. Parikh, Wei Wu, Eric P. Xing:
Robust Reverse Engineering of Dynamic Gene Networks Under Sample Size Heterogeneity. Pacific Symposium on Biocomputing 2014: 265-276 - [i3]Avneesh Saluja, Mahdi Pakdaman, Dongzhen Piao, Ankur P. Parikh:
Infinite Mixed Membership Matrix Factorization. CoRR abs/1401.3413 (2014) - 2013
- [c7]Avneesh Saluja, Mahdi Pakdaman, Dongzhen Piao, Ankur P. Parikh:
Infinite Mixed Membership Matrix Factorization. ICDM Workshops 2013: 800-807 - [c6]Le Song, Mariya Ishteva, Ankur P. Parikh, Eric P. Xing, Haesun Park:
Hierarchical Tensor Decomposition of Latent Tree Graphical Models. ICML (3) 2013: 334-342 - [i2]Ankur P. Parikh, Avneesh Saluja, Chris Dyer, Eric P. Xing:
Language Modeling with Power Low Rank Ensembles. CoRR abs/1312.7077 (2013) - 2012
- [j2]Ross E. Curtis, Jing Xiang, Ankur P. Parikh, Peter Kinnaird, Eric P. Xing:
Enabling dynamic network analysis through visualization in TVNViewer. BMC Bioinform. 13: 204 (2012) - [c5]Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing:
A Spectral Algorithm for Latent Junction Trees. UAI 2012: 675-684 - [i1]Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, Eric P. Xing:
A Spectral Algorithm for Latent Junction Trees. CoRR abs/1210.4884 (2012) - 2011
- [j1]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): 196-204 (2011) - [c4]Ankur P. Parikh, Le Song, Eric P. Xing:
A Spectral Algorithm for Latent Tree Graphical Models. ICML 2011: 1065-1072 - [c3]Le Song, Ankur P. Parikh, Eric P. Xing:
Kernel Embeddings of Latent Tree Graphical Models. NIPS 2011: 2708-2716 - [c2]Qirong Ho, Ankur P. Parikh, Le Song, Eric P. Xing:
Multiscale Community Blockmodel for Network Exploration. AISTATS 2011: 333-341 - 2010
- [c1]Mladen Kolar, Ankur P. Parikh, Eric P. Xing:
On Sparse Nonparametric Conditional Covariance Selection. ICML 2010: 559-566
Coauthor Index
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