Nitish Gupta
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
9
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM. | Zheng Wei Lim, Nitish Gupta, Honglin Yu, Trevor Cohn |
| 2024 | ACL | IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages. | Harman Singh, Nitish Gupta, Shikhar Bharadwaj, Dinesh Tewari, Partha Talukdar |
| 2024 | ICLR | LLM Augmented LLMs: Expanding Capabilities through Composition. | Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar |
| 2023 | AAAI | 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 |
| 2023 | EACL | Bootstrapping Multilingual Semantic Parsers using Large Language Models. | Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha Talukdar |
| 2023 | EACL | Event Linking: Grounding Event Mentions to Wikipedia. | Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth |
| 2023 | EMNLP | 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 |
| 2021 | ACL | Enforcing Consistency in Weakly Supervised Semantic Parsing. | Nitish Gupta, Sameer Singh, Matt Gardner |
| 2021 | EMNLP | Paired Examples as Indirect Supervision in Latent Decision Models. | Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth |
| 2020 | AAAI | Robust Named Entity Recognition with Truecasing Pretraining. | Stephen Mayhew, Nitish Gupta, Dan Roth |
| 2020 | ACL | Overestimation of Syntactic Representation in Neural Language Models. | Jordan Kodner, Nitish Gupta |
| 2020 | ACL | Obtaining Faithful Interpretations from Compositional Neural Networks. | Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | Improving Compositional Generalization in Semantic Parsing. | Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant |
| 2020 | EMNLP | What do we expect from Multiple-choice QA Systems? | Krunal Shah, Nitish Gupta, Dan Roth |
| 2020 | ICLR | Neural Module Networks for Reasoning over Text. | Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner |
| 2020 | SIGMOD | 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 |
| 2018 | EMNLP | Neural Compositional Denotational Semantics for Question Answering. | Nitish Gupta, Mike Lewis |
| 2018 | EMNLP | Joint Multilingual Supervision for Cross-lingual Entity Linking. | Shyam Upadhyay, Nitish Gupta, Dan Roth |
| 2017 | EMNLP | Entity Linking via Joint Encoding of Types, Descriptions, and Context. | Nitish Gupta, Sameer Singh, Dan Roth |
| 2016 | COLING | Revisiting the Evaluation for Cross Document Event Coreference. | Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos, Dan Roth |
| 2015 | IM | 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 |
| 2011 | IGARSS | Artificial intelligence for mixed pixel resolution. | Nitish Gupta, V. K. Panchal |