Nitish Gupta

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 51

Top Topics

Weakly Supervised

Question Answering

Semantic Parser

Top Venues

EMNLP (Findings)

Publications

Harman Singh, Nitish Gupta, Shikhar Bharadwaj, Dinesh Tewari, Partha Talukdar
IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages. CoRR (2024)
Harman Singh, Nitish Gupta, Shikhar Bharadwaj, Dinesh Tewari, Partha Talukdar
IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages. ACL (1) (2024)
Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar
LLM Augmented LLMs: Expanding Capabilities through Composition. ICLR (2024)
Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts
Potential-Based Reward Shaping for Intrinsic Motivation. AAMAS (2024)
Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts
Potential-Based Reward Shaping For Intrinsic Motivation. CoRR (2024)
Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Shikhar Vashishth, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar
LLM Augmented LLMs: Expanding Capabilities through Composition. CoRR (2024)
Nisha P. Shetty, Balachandra Muniyal, Aman Priyanshu, Dhruthi Kumar, Leander Melroy Maben, Yash Agrawal, Ruchita Natarajan, Shravya Gunda, Nitish Gupta
Protecting Your Online Persona: A Preferential Selective Encryption Approach for Enhanced Privacy in Tweets, Images, Memes, and Metadata. IEEE Access 12 (2024)
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
Microsoft Purview: A System for Central Governance of Data. Proc. VLDB Endow. 16 (12) (2023)
Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha Talukdar
Bootstrapping Multilingual Semantic Parsers using Large Language Models. EACL (2023)
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
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages. EMNLP (Findings) (2023)
Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth
Event Linking: Grounding Event Mentions to Wikipedia. EACL (2023)
William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. AAAI (2023)
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 I. Adelani, Vera Axelrod, Isaac Caswell, Colin Cherry, Dan Garrette, R. Reeve Ingle, Melvin Johnson, Dmitry Panteleev, Partha Talukdar
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages. CoRR (2023)
Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha Talukdar
Bootstrapping Multilingual Semantic Parsers using Large Language Models. CoRR (2022)
Nitish Gupta, Kurt M. Wilson, Zhishan Guo
Optimizing Real-Time Performances for Timed-Loop Racing under F1TENTH. CoRR (2022)
Wenhu Chen, William W. Cohen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. CoRR (2022)
Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth
Event Linking: Grounding Event Mentions to Wikipedia. CoRR (2021)
Nitish Gupta, Sameer Singh, Matt Gardner
Enforcing Consistency in Weakly Supervised Semantic Parsing. ACL/IJCNLP (2) (2021)
Ankur Debnath, Nitish Gupta, Govind Waghmare, Hardik Wadhwa, Siddhartha Asthana, Ankur Arora
Adversarial Generation of Temporal Data: A Critique on Fidelity of Synthetic Data. PKDD/ECML Workshops (1) (2021)
Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth
Paired Examples as Indirect Supervision in Latent Decision Models. CoRR (2021)
Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth
Paired Examples as Indirect Supervision in Latent Decision Models. EMNLP (1) (2021)
Nitish Gupta, Sameer Singh, Matt Gardner
Enforcing Consistency in Weakly Supervised Semantic Parsing. CoRR (2021)
Nitish Gupta
Real-time SIL Emulation Architecture for Cooperative Automated Vehicles. CoRR (2021)
Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant
Improving Compositional Generalization in Semantic Parsing. EMNLP (Findings) (2020)
Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant
Improving Compositional Generalization in Semantic Parsing. CoRR (2020)
Krunal Shah, Nitish Gupta, Dan Roth
What do we expect from Multiple-choice QA Systems? EMNLP (Findings) (2020)
Jordan Kodner, Nitish Gupta
Overestimation of Syntactic Representation in Neural Language Models. ACL (2020)
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
Azure SQL Database Always Encrypted. SIGMOD Conference (2020)
Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
Obtaining Faithful Interpretations from Compositional Neural Networks. ACL (2020)
Krunal Shah, Nitish Gupta, Dan Roth
What do we expect from Multiple-choice QA Systems? CoRR (2020)
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
Evaluating NLP Models via Contrast Sets. CoRR (2020)
Jordan Kodner, Nitish Gupta
Overestimation of Syntactic Representationin Neural Language Models. CoRR (2020)
Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner
Neural Module Networks for Reasoning over Text. ICLR (2020)
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
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) (2020)
Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
Obtaining Faithful Interpretations from Compositional Neural Networks. CoRR (2020)
Stephen Mayhew, Nitish Gupta, Dan Roth
Robust Named Entity Recognition with Truecasing Pretraining. AAAI (2020)
Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner
Neural Module Networks for Reasoning over Text. CoRR (2019)
Stephen Mayhew, Nitish Gupta, Dan Roth
Robust Named Entity Recognition with Truecasing Pretraining. CoRR (2019)
Ghayoor Shah, Rodolfo Valiente, Nitish Gupta, S. M. Osman Gani, Behrad Toghi, Yaser P. Fallah, Somak Datta Gupta
Real-Time Hardware-In-the-Loop Emulation Framework for DSRC-Based Connected Vehicle Applications. CAVS (2019)
Ghayoor Shah, Rodolfo Valiente, Nitish Gupta, S. M. Osman Gani, Behrad Toghi, Yaser P. Fallah, Somak Datta Gupta
Real-Time Hardware-In-the-Loop Emulation Framework for DSRC-based Connected Vehicle Applications. CoRR (2019)
Shyam Upadhyay, Nitish Gupta, Dan Roth
Joint Multilingual Supervision for Cross-lingual Entity Linking. EMNLP (2018)
Nitish Gupta, Mike Lewis
Neural Compositional Denotational Semantics for Question Answering. CoRR (2018)
Nitish Gupta, Mike Lewis
Neural Compositional Denotational Semantics for Question Answering. EMNLP (2018)
Shyam Upadhyay, Nitish Gupta, Dan Roth
Joint Multilingual Supervision for Cross-lingual Entity Linking. CoRR (2018)
Nitish Gupta, Sameer Singh, Dan Roth
Entity Linking via Joint Encoding of Types, Descriptions, and Context. EMNLP (2017)
Chase Duncan, Liang-Wei Chan, Haoruo Peng, Hao Wu, Shyam Upadhyay, Nitish Gupta, Chen-Tse Tsai, Mark Sammons, Dan Roth
UI CCG TAC-KBP2017 Submissions: Entity Discovery and Linking, and Event Nugget Detection and Co-reference. TAC (2017)
Nitish Gupta, Komal Sanjeev, Tim Wall, Carl Kingsford, Rob Patro
Efficient Index Maintenance Under Dynamic Genome Modification. CoRR (2016)
Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos, Dan Roth
Revisiting the Evaluation for Cross Document Event Coreference. COLING (2016)
Avi Srivastava, Hirak Sarkar, Nitish Gupta, Rob Patro
RapMap: a rapid, sensitive and accurate tool for mapping RNA-seq reads to transcriptomes. Bioinform. 32 (12) (2016)
Alexander Clemm, Mouli Chandramouli, Nitish Gupta, Robert Lerche, Ashwin Pankaj, Manjunath Patil, Ganesan Rajam, V. Anbalagan, Joe Zhang, Yifan Zhang
DNA: An SDN framework for Distributed Network Analytics (Demo Paper). IM (2015)
Nitish Gupta, Sameer Singh
Collectively Embedding Multi-Relational Data for Predicting User Preferences. CoRR (2015)
Nitish Gupta, V. K. Panchal
Artificial intelligence for mixed pixel resolution. IGARSS (2011)