On Sparse Nonparametric Conditional Covariance Selection. - Mladen Kolar; Ankur P. Parikh; Eric P. Xing (ICML, 2010)

A Spectral Algorithm for Latent Tree Graphical Models. - Ankur P. Parikh; Le Song; Eric P. Xing (ICML, 2011)

Kernel Embeddings of Latent Tree Graphical Models. - Le Song; Ankur P. Parikh; Eric P. Xing (NIPS, 2011)

TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages. - Ankur P. Parikh; Wei Wu 023; Ross E. Curtis; Eric P. Xing (Bioinform., 2011)

Multiscale Community Blockmodel for Network Exploration. - Qirong Ho; Ankur P. Parikh; Le Song; Eric P. Xing (AISTATS, 2011)

A Spectral Algorithm for Latent Junction Trees. - Ankur P. Parikh; Le Song; Mariya Ishteva; Gabi Teodoru; Eric P. Xing (UAI, 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)

Infinite Mixed Membership Matrix Factorization. - Avneesh Saluja; Mahdi Pakdaman; Dongzhen Piao; Ankur P. Parikh (ICDM Workshops, 2013)

Hierarchical Tensor Decomposition of Latent Tree Graphical Models. - Le Song; Mariya Ishteva; Ankur P. Parikh; Eric P. Xing; Haesun Park (ICML (3), 2013)

Spectral Unsupervised Parsing with Additive Tree Metrics. - Ankur P. Parikh; Shay B. Cohen; Eric P. Xing (ACL (1), 2014)

Language Modeling with Power Low Rank Ensembles. - Ankur P. Parikh; Avneesh Saluja; Chris Dyer; Eric P. Xing (EMNLP, 2014)

Robust Reverse Engineering of Dynamic Gene Networks Under Sample Size Heterogeneity. - Ankur P. Parikh; Wei Wu 023; Eric P. Xing (Pacific Symposium on Biocomputing, 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 023 (PLoS Comput. Biol., 2014)

Grounded Semantic Parsing for Complex Knowledge Extraction. - Ankur P. Parikh; Hoifung Poon; Kristina Toutanova (HLT-NAACL, 2015)

Spectral Probablistic Modeling and Applications to Natural Language Processing. - Ankur P. Parikh (2015)

A Decomposable Attention Model for Natural Language Inference. - Ankur P. Parikh; Oscar Täckström; Dipanjan Das 001; Jakob Uszkoreit (EMNLP, 2016)

Learning Recurrent Span Representations for Extractive Question Answering. - Kenton Lee; Tom Kwiatkowski; Ankur P. Parikh; Dipanjan Das 001 (CoRR, 2016)

Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension. - Min Joon Seo; Tom Kwiatkowski; Ankur P. Parikh; Ali Farhadi; Hannaneh Hajishirzi (EMNLP, 2018)

Multi-Mention Learning for Reading Comprehension with Neural Cascades. - Swabha Swayamdipta; Ankur P. Parikh; Tom Kwiatkowski (ICLR (Poster), 2018)

Hybrid Subspace Learning for High-Dimensional Data. - Micol Marchetti-Bowick; Benjamin J. Lengerich; Ankur P. Parikh; Eric P. Xing (CoRR, 2018)

Improving Span-based Question Answering Systems with Coarsely Labeled Data. - Hao Cheng 002; Ming-Wei Chang; Kenton Lee; Ankur P. Parikh; Michael Collins 001; Kristina Toutanova (CoRR, 2018)

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. - Bhuwan Dhingra; Manaal Faruqui; Ankur P. Parikh; Ming-Wei Chang; Dipanjan Das 001; William W. Cohen (ACL (1), 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 (ACL (1), 2019)

Consistency by Agreement in Zero-Shot Neural Machine Translation. - Maruan Al-Shedivat; Ankur P. Parikh (NAACL-HLT (1), 2019)

Text Generation with Exemplar-based Adaptive Decoding. - Hao Peng; Ankur P. Parikh; Manaal Faruqui; Bhuwan Dhingra; Dipanjan Das 001 (NAACL-HLT (1), 2019)

Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation. - Ran Tian; Shashi Narayan; Thibault Sellam; Ankur P. Parikh (CoRR, 2019)

Natural Questions: a Benchmark for Question Answering Research. - Tom Kwiatkowski; Jennimaria Palomaki; Olivia Redfield; Michael Collins 001; Ankur P. Parikh; Chris Alberti; Danielle Epstein; Illia Polosukhin; Jacob Devlin; Kenton Lee; Kristina Toutanova; Llion Jones; et al. (Trans. Assoc. Comput. Linguistics, 2019)

BLEURT: Learning Robust Metrics for Text Generation. - Thibault Sellam; Dipanjan Das 001; Ankur P. Parikh (ACL, 2020)

A Multilingual View of Unsupervised Machine Translation. - Xavier Garcia; Pierre Foret; Thibault Sellam; Ankur P. Parikh (EMNLP (Findings), 2020)

ToTTo: A Controlled Table-To-Text Generation Dataset. - Ankur P. Parikh; Xuezhi Wang 002; Sebastian Gehrmann; Manaal Faruqui; Bhuwan Dhingra; Diyi Yang; Dipanjan Das 001 (EMNLP (1), 2020)

Thieves on Sesame Street! Model Extraction of BERT-based APIs. - Kalpesh Krishna; Gaurav Singh Tomar; Ankur P. Parikh; Nicolas Papernot; Mohit Iyyer (ICLR, 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 001; Ankur P. Parikh (WMT@EMNLP, 2020)

Learning Compact Metrics for MT. - Amy Pu; Hyung Won Chung; Ankur P. Parikh; Sebastian Gehrmann; Thibault Sellam (EMNLP (1), 2021)

Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution. - Xavier Garcia; Noah Constant; Ankur P. Parikh; Orhan Firat (NAACL-HLT, 2021)

Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages. - Xavier Garcia; Aditya Siddhant; Orhan Firat; Ankur P. Parikh (NAACL-HLT, 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 001; Kaustubh D. Dhole; Wanyu Du; Esin Durmus; et al. (CoRR, 2021)

Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning. - Ran Tian; Joshua Maynez; Ankur P. Parikh (CoRR, 2021)

Learning with Limited Text Data. - Diyi Yang; Ankur P. Parikh; Colin Raffel (ACL (tutorial), 2022)

Simple Recurrence Improves Masked Language Models. - Tao Lei; Ran Tian; Jasmijn Bastings; Ankur P. Parikh (CoRR, 2022)

Amos: An Adam-style Optimizer with Adaptive Weight Decay towards Model-Oriented Scale. - Ran Tian; Ankur P. Parikh (CoRR, 2022)

Reward Gaming in Conditional Text Generation. - Richard Yuanzhe Pang; Vishakh Padmakumar; Thibault Sellam; Ankur P. Parikh; He He 001 (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)

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 (EMNLP (Findings), 2023)

SQuId: Measuring Speech Naturalness in Many Languages. - Thibault Sellam; Ankur Bapna; Joshua Camp; Diana Mackinnon; Ankur P. Parikh; Jason Riesa (ICASSP, 2023)

Extrapolative Controlled Sequence Generation via Iterative Refinement. - Vishakh Padmakumar; Richard Yuanzhe Pang; He He 001; Ankur P. Parikh (ICML, 2023)