Nitish Gupta - RankMe

54 papers A* 10A 3B 2C 1Journal 27Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM. ICLR Zheng Wei Lim, Nitish Gupta, Honglin Yu, Trevor Cohn
2024	—	`conf`	IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages. ACL (1) Harman Singh, Nitish Gupta, Shikhar Bharadwaj, Dinesh Tewari, Partha Talukdar
2024	J	`jnl`	IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages. CoRR Harman Singh, Nitish Gupta, Shikhar Bharadwaj, Dinesh Tewari, Partha Talukdar
2024	A*	`conf`	LLM Augmented LLMs: Expanding Capabilities through Composition. ICLR Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar
2024	J	`jnl`	LLM Augmented LLMs: Expanding Capabilities through Composition. CoRR Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Shikhar Vashishth, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar
2024	J	`jnl`	Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM. CoRR Zheng Wei Lim, Nitish Gupta, Honglin Yu, Trevor Cohn
2024	J	`jnl`	Potential-Based Reward Shaping For Intrinsic Motivation. CoRR Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts
2024	A	`conf`	Potential-Based Reward Shaping for Intrinsic Motivation. AAMAS Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts
2024	J	`jnl`	Protecting Your Online Persona: A Preferential Selective Encryption Approach for Enhanced Privacy in Tweets, Images, Memes, and Metadata. IEEE Access Nisha P. Shetty, Balachandra Muniyal, Aman Priyanshu, Dhruthi Kumar, Leander Melroy Maben, Yash Agrawal, Ruchita Natarajan, Shravya Gunda, Nitish Gupta
2023	A	`conf`	Bootstrapping Multilingual Semantic Parsers using Large Language Models. EACL Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha Talukdar
2023	A	`conf`	Event Linking: Grounding Event Mentions to Wikipedia. EACL Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth
2023	J	`jnl`	Microsoft Purview: A System for Central Governance of Data. Proc. VLDB Endow. 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
2023	A*	`conf`	QA Is the New KR: Question-Answer Pairs as Knowledge Bases. AAAI William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting
2023	—	`conf`	XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages. EMNLP (Findings) 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
2023	J	`jnl`	XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages. CoRR 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
2022	J	`jnl`	Bootstrapping Multilingual Semantic Parsers using Large Language Models. CoRR Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha P. Talukdar
2022	J	`jnl`	Optimizing Real-Time Performances for Timed-Loop Racing under F1TENTH. CoRR Nitish Gupta, Kurt M. Wilson, Zhishan Guo
2022	J	`jnl`	QA Is the New KR: Question-Answer Pairs as Knowledge Bases. CoRR Wenhu Chen, William W. Cohen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting
2021	—	`conf`	Adversarial Generation of Temporal Data: A Critique on Fidelity of Synthetic Data. PKDD/ECML Workshops (1) Ankur Debnath, Nitish Gupta, Govind Waghmare, Hardik Wadhwa, Siddhartha Asthana, Ankur Arora
2021	—	`conf`	Enforcing Consistency in Weakly Supervised Semantic Parsing. ACL/IJCNLP (2) Nitish Gupta, Sameer Singh, Matt Gardner
2021	J	`jnl`	Enforcing Consistency in Weakly Supervised Semantic Parsing. CoRR Nitish Gupta, Sameer Singh, Matt Gardner
2021	J	`jnl`	Event Linking: Grounding Event Mentions to Wikipedia. CoRR Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth
2021	—	`conf`	Paired Examples as Indirect Supervision in Latent Decision Models. EMNLP (1) Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth
2021	J	`jnl`	Paired Examples as Indirect Supervision in Latent Decision Models. CoRR Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth
2021	J	`jnl`	Real-time SIL Emulation Architecture for Cooperative Automated Vehicles. CoRR Nitish Gupta
2020	—	`conf`	Azure SQL Database Always Encrypted. SIGMOD Conference 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
2020	—	`conf`	Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) 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
2020	J	`jnl`	Evaluating NLP Models via Contrast Sets. CoRR 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
2020	—	`conf`	Improving Compositional Generalization in Semantic Parsing. EMNLP (Findings) Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant
2020	J	`jnl`	Improving Compositional Generalization in Semantic Parsing. CoRR Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant
2020	A*	`conf`	Neural Module Networks for Reasoning over Text. ICLR Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner
2020	A*	`conf`	Obtaining Faithful Interpretations from Compositional Neural Networks. ACL Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
2020	J	`jnl`	Obtaining Faithful Interpretations from Compositional Neural Networks. CoRR Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
2020	A*	`conf`	Overestimation of Syntactic Representation in Neural Language Models. ACL Jordan Kodner, Nitish Gupta
2020	J	`jnl`	Overestimation of Syntactic Representationin Neural Language Models. CoRR Jordan Kodner, Nitish Gupta
2020	A*	`conf`	Robust Named Entity Recognition with Truecasing Pretraining. AAAI Stephen Mayhew, Nitish Gupta, Dan Roth
2020	—	`conf`	What do we expect from Multiple-choice QA Systems? EMNLP (Findings) Krunal Shah, Nitish Gupta, Dan Roth
2020	J	`jnl`	What do we expect from Multiple-choice QA Systems? CoRR Krunal Shah, Nitish Gupta, Dan Roth
2019	J	`jnl`	Neural Module Networks for Reasoning over Text. CoRR Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner
2019	—	`conf`	Real-Time Hardware-In-the-Loop Emulation Framework for DSRC-Based Connected Vehicle Applications. CAVS Ghayoor Shah, Rodolfo Valiente, Nitish Gupta, S. M. Osman Gani, Behrad Toghi, Yaser P. Fallah, Somak Datta Gupta
2019	J	`jnl`	Real-Time Hardware-In-the-Loop Emulation Framework for DSRC-based Connected Vehicle Applications. CoRR Ghayoor Shah, Rodolfo Valiente, Nitish Gupta, S. M. Osman Gani, Behrad Toghi, Yaser P. Fallah, Somak Datta Gupta
2019	J	`jnl`	Robust Named Entity Recognition with Truecasing Pretraining. CoRR Stephen Mayhew, Nitish Gupta, Dan Roth
2018	A*	`conf`	Joint Multilingual Supervision for Cross-lingual Entity Linking. EMNLP Shyam Upadhyay, Nitish Gupta, Dan Roth
2018	J	`jnl`	Joint Multilingual Supervision for Cross-lingual Entity Linking. CoRR Shyam Upadhyay, Nitish Gupta, Dan Roth
2018	A*	`conf`	Neural Compositional Denotational Semantics for Question Answering. EMNLP Nitish Gupta, Mike Lewis
2018	J	`jnl`	Neural Compositional Denotational Semantics for Question Answering. CoRR Nitish Gupta, Mike Lewis
2017	A*	`conf`	Entity Linking via Joint Encoding of Types, Descriptions, and Context. EMNLP Nitish Gupta, Sameer Singh, Dan Roth
2017	—	`conf`	UI CCG TAC-KBP2017 Submissions: Entity Discovery and Linking, and Event Nugget Detection and Co-reference. TAC Chase Duncan, Liang-Wei Chan, Haoruo Peng, Hao Wu, Shyam Upadhyay, Nitish Gupta, Chen-Tse Tsai, Mark Sammons, Dan Roth
2016	J	`jnl`	Efficient Index Maintenance Under Dynamic Genome Modification. CoRR Nitish Gupta, Komal Sanjeev, Tim Wall, Carl Kingsford, Rob Patro
2016	J	`jnl`	RapMap: a rapid, sensitive and accurate tool for mapping RNA-seq reads to transcriptomes. Bioinform. Avi Srivastava, Hirak Sarkar, Nitish Gupta, Rob Patro
2016	B	`conf`	Revisiting the Evaluation for Cross Document Event Coreference. COLING Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos, Dan Roth
2015	J	`jnl`	Collectively Embedding Multi-Relational Data for Predicting User Preferences. CoRR Nitish Gupta, Sameer Singh
2015	B	`conf`	DNA: An SDN framework for Distributed Network Analytics (Demo Paper). IM Alexander Clemm, Mouli Chandramouli, Nitish Gupta, Robert Lerche, Ashwin Pankaj, Manjunath Patil, Ganesan Rajam, V. Anbalagan, Joe Zhang, Yifan Zhang
2011	C	`conf`	Artificial intelligence for mixed pixel resolution. IGARSS Nitish Gupta, V. K. Panchal