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2020 – today
- 2023
[c20]Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha Talukdar:
Bootstrapping Multilingual Semantic Parsers using Large Language Models. EACL 2023: 2447-2459- [c19]Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth:
Event Linking: Grounding Event Mentions to Wikipedia. EACL 2023: 2671-2680 - [i21]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 abs/2305.11938 (2023) - 2022
- [i20]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 abs/2207.00630 (2022) - [i19]Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha P. Talukdar:
Bootstrapping Multilingual Semantic Parsers using Large Language Models. CoRR abs/2210.07313 (2022) - [i18]Nitish Gupta, Kurt M. Wilson, Zhishan Guo:
Optimizing Real-Time Performances for Timed-Loop Racing under F1TENTH. CoRR abs/2212.04549 (2022) - 2021
- [c18]Nitish Gupta, Sameer Singh, Matt Gardner:
Enforcing Consistency in Weakly Supervised Semantic Parsing. ACL/IJCNLP (2) 2021: 168-174 - [c17]Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth:
Paired Examples as Indirect Supervision in Latent Decision Models. EMNLP (1) 2021: 5774-5785 - [c16]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: 306-321 - [i17]Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth:
Paired Examples as Indirect Supervision in Latent Decision Models. CoRR abs/2104.01759 (2021) - [i16]Nitish Gupta, Sameer Singh, Matt Gardner:
Enforcing Consistency in Weakly Supervised Semantic Parsing. CoRR abs/2107.05833 (2021) - [i15]Nitish Gupta:
Real-time SIL Emulation Architecture for Cooperative Automated Vehicles. CoRR abs/2112.07586 (2021) - [i14]Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth:
Event Linking: Grounding Event Mentions to Wikipedia. CoRR abs/2112.07888 (2021) - 2020
- [c15]Stephen Mayhew, Nitish Gupta, Dan Roth:
Robust Named Entity Recognition with Truecasing Pretraining. AAAI 2020: 8480-8487 - [c14]Jordan Kodner, Nitish Gupta:
Overestimation of Syntactic Representation in Neural Language Models. ACL 2020: 1757-1762 - [c13]Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner:
Obtaining Faithful Interpretations from Compositional Neural Networks. ACL 2020: 5594-5608 - [c12]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: 1307-1323 - [c11]Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant:
Improving Compositional Generalization in Semantic Parsing. EMNLP (Findings) 2020: 2482-2495 - [c10]Krunal Shah, Nitish Gupta, Dan Roth:
What do we expect from Multiple-choice QA Systems? EMNLP (Findings) 2020: 3547-3553 - [c9]Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner:
Neural Module Networks for Reasoning over Text. ICLR 2020 - [c8]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: 1511-1525 - [i13]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 abs/2004.02709 (2020) - [i12]Jordan Kodner, Nitish Gupta:
Overestimation of Syntactic Representationin Neural Language Models. CoRR abs/2004.05067 (2020) - [i11]Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner:
Obtaining Faithful Interpretations from Compositional Neural Networks. CoRR abs/2005.00724 (2020) - [i10]Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant:
Improving Compositional Generalization in Semantic Parsing. CoRR abs/2010.05647 (2020) - [i9]Krunal Shah, Nitish Gupta, Dan Roth:
What do we expect from Multiple-choice QA Systems? CoRR abs/2011.10647 (2020)
2010 – 2019
- 2019
- [c7]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: 1-6 - [i8]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 abs/1905.09267 (2019) - [i7]Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner:
Neural Module Networks for Reasoning over Text. CoRR abs/1912.04971 (2019) - [i6]Stephen Mayhew, Nitish Gupta, Dan Roth:
Robust Named Entity Recognition with Truecasing Pretraining. CoRR abs/1912.07095 (2019) - 2018
- [c6]Nitish Gupta, Mike Lewis:
Neural Compositional Denotational Semantics for Question Answering. EMNLP 2018: 2152-2161 - [c5]Shyam Upadhyay, Nitish Gupta, Dan Roth:
Joint Multilingual Supervision for Cross-lingual Entity Linking. EMNLP 2018: 2486-2495 - [i5]Nitish Gupta, Mike Lewis:
Neural Compositional Denotational Semantics for Question Answering. CoRR abs/1808.09942 (2018) - [i4]Shyam Upadhyay, Nitish Gupta, Dan Roth:
Joint Multilingual Supervision for Cross-lingual Entity Linking. CoRR abs/1809.07657 (2018) - 2017
- [c4]Nitish Gupta, Sameer Singh, Dan Roth:
Entity Linking via Joint Encoding of Types, Descriptions, and Context. EMNLP 2017: 2681-2690 - [i3]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 - 2016
- [j1]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): 192-200 (2016) - [c3]Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos, Dan Roth:
Revisiting the Evaluation for Cross Document Event Coreference. COLING 2016: 1949-1958 - [i2]Nitish Gupta, Komal Sanjeev, Tim Wall, Carl Kingsford, Rob Patro:
Efficient Index Maintenance Under Dynamic Genome Modification. CoRR abs/1604.03132 (2016) - 2015
- [c2]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: 1143-1144 - [i1]Nitish Gupta, Sameer Singh:
Collectively Embedding Multi-Relational Data for Predicting User Preferences. CoRR abs/1504.06165 (2015) - 2011
- [c1]Nitish Gupta, V. K. Panchal:
Artificial intelligence for mixed pixel resolution. IGARSS 2011: 2801-2804
Coauthor Index
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