Nitish Gupta

According to our database, Nitish Gupta authored at least 34 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Potential-Based Reward Shaping For Intrinsic Motivation.

Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts

CoRR, 2024

LLM Augmented LLMs: Expanding Capabilities through Composition.

Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Shikhar Vashishth, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar

CoRR, 2024

2023

Microsoft Purview: A System for Central Governance of Data.

Shafi Ahmad, Dillidorai Arumugam, Srdan Bozovic, Elnata Degefa, Sailesh Duvvuri, Steven Gott, Nitish Gupta, Joachim Hammer, Nivedita Kaluskar, Raghav Kaushik, Rakesh Khanduja, Prasad Mujumdar, Gaurav Malhotra, Pankaj Naik, Nikolas Ogg, Krishna Kumar Parthasarthy, Raghu Ramakrishnan, Vlad Rodriguez, Rahul Sharma, Jakub Szymaszek, Andreas Wolter

Proc. VLDB Endow., 2023

XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages.

Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin, Mihir Kale, Min Ma, Massimo Nicosia, Shruti Rijhwani, Parker Riley, Jean Michel A. Sarr, Xinyi Wang, John Wieting, Nitish Gupta, Anna Katanova, Christo Kirov, Dana L. Dickinson, Brian Roark, Bidisha Samanta, Connie Tao, David Ifeoluwa Adelani, Vera Axelrod, Isaac Caswell, Colin Cherry, Dan Garrette, R. Reeve Ingle, Melvin Johnson, Dmitry Panteleev, Partha Talukdar

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

Event Linking: Grounding Event Mentions to Wikipedia.

Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Bootstrapping Multilingual Semantic Parsers using Large Language Models.

Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha Talukdar

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

QA Is the New KR: Question-Answer Pairs as Knowledge Bases.

William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Optimizing Real-Time Performances for Timed-Loop Racing under F1TENTH.

Nitish Gupta, Kurt M. Wilson, Zhishan Guo

CoRR, 2022

Bootstrapping Multilingual Semantic Parsers using Large Language Models.

Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha P. Talukdar

CoRR, 2022

2021

Real-time SIL Emulation Architecture for Cooperative Automated Vehicles.

Nitish Gupta

CoRR, 2021

Adversarial Generation of Temporal Data: A Critique on Fidelity of Synthetic Data.

Ankur Debnath, Nitish Gupta, Govind Waghmare, Hardik Wadhwa, Siddhartha Asthana, Ankur Arora

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Paired Examples as Indirect Supervision in Latent Decision Models.

Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth

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

Enforcing Consistency in Weakly Supervised Semantic Parsing.

Nitish Gupta, Sameer Singh, Matt Gardner

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Overestimation of Syntactic Representationin Neural Language Models.

Jordan Kodner, Nitish Gupta

CoRR, 2020

Evaluating NLP Models via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

CoRR, 2020

Azure SQL Database Always Encrypted.

Panagiotis Antonopoulos, Arvind Arasu, Kunal D. Singh, Ken Eguro, Nitish Gupta, Rajat Jain, Raghav Kaushik, Hanuma Kodavalla, Donald Kossmann, Nikolas Ogg, Ravi Ramamurthy, Jakub Szymaszek, Jeffrey Trimmer, Kapil Vaswani, Ramarathnam Venkatesan, Mike Zwilling

Proceedings of the 2020 International Conference on Management of Data, 2020

Neural Module Networks for Reasoning over Text.

Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner

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

What do we expect from Multiple-choice QA Systems?

Krunal Shah, Nitish Gupta, Dan Roth

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

Improving Compositional Generalization in Semantic Parsing.

Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant

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

Evaluating Models' Local Decision Boundaries via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

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

Obtaining Faithful Interpretations from Compositional Neural Networks.

Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner

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

Overestimation of Syntactic Representation in Neural Language Models.

Jordan Kodner, Nitish Gupta

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

Robust Named Entity Recognition with Truecasing Pretraining.

Stephen Mayhew, Nitish Gupta, Dan Roth

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Real-Time Hardware-In-the-Loop Emulation Framework for DSRC-Based Connected Vehicle Applications.

Ghayoor Shah, Rodolfo Valiente, Nitish Gupta, S. M. Osman Gani, Behrad Toghi, Yaser P. Fallah, Somak Datta Gupta

Proceedings of the IEEE 2nd Connected and Automated Vehicles Symposium, 2019

2018

Joint Multilingual Supervision for Cross-lingual Entity Linking.

Shyam Upadhyay, Nitish Gupta, Dan Roth

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

Neural Compositional Denotational Semantics for Question Answering.

Nitish Gupta, Mike Lewis

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

2017

UI CCG TAC-KBP2017 Submissions: Entity Discovery and Linking, and Event Nugget Detection and Co-reference.

Chase Duncan, Liang-Wei Chan, Haoruo Peng, Hao Wu, Shyam Upadhyay, Nitish Gupta, Chen-Tse Tsai, Mark Sammons, Dan Roth

Proceedings of the 2017 Text Analysis Conference, 2017

Entity Linking via Joint Encoding of Types, Descriptions, and Context.

Nitish Gupta, Sameer Singh, Dan Roth

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Efficient Index Maintenance Under Dynamic Genome Modification.

Nitish Gupta, Komal Sanjeev, Tim Wall, Carl Kingsford, Rob Patro

CoRR, 2016

RapMap: a rapid, sensitive and accurate tool for mapping RNA-seq reads to transcriptomes.

Avi Srivastava, Hirak Sarkar, Nitish Gupta, Rob Patro

Bioinform., 2016

Revisiting the Evaluation for Cross Document Event Coreference.

Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos, Dan Roth

Proceedings of the COLING 2016, 2016

2015

Collectively Embedding Multi-Relational Data for Predicting User Preferences.

Nitish Gupta, Sameer Singh

CoRR, 2015

DNA: An SDN framework for Distributed Network Analytics (Demo Paper).

Alexander Clemm, Mouli Chandramouli, Nitish Gupta, Robert Lerche, Ashwin Pankaj, Manjunath Patil, Ganesan Rajam, V. Anbalagan, Joe Zhang, Yifan Zhang

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

2011

Artificial intelligence for mixed pixel resolution.

Nitish Gupta, V. K. Panchal

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011