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Nitish Gupta

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Potential-Based Reward Shaping For Intrinsic Motivation

Feb 12, 2024
Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts

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LLM Augmented LLMs: Expanding Capabilities through Composition

Jan 04, 2024
Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Shikhar Vashishth, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar

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

May 24, 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, Reeve Ingle, Melvin Johnson, Dmitry Panteleev, Partha Talukdar

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

Dec 08, 2022
Nitish Gupta, Kurt Wilson, Zhishan Guo

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Bootstrapping Multilingual Semantic Parsers using Large Language Models

Oct 13, 2022
Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha Talukdar

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

Jul 01, 2022
Wenhu Chen, William W. Cohen, Michiel De Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting

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Event Linking: Grounding Event Mentions to Wikipedia

Dec 15, 2021
Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth

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Enforcing Consistency in Weakly Supervised Semantic Parsing

Jul 13, 2021
Nitish Gupta, Sameer Singh, Matt Gardner

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Paired Examples as Indirect Supervision in Latent Decision Models

Apr 05, 2021
Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth

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What do we expect from Multiple-choice QA Systems?

Nov 20, 2020
Krunal Shah, Nitish Gupta, Dan Roth

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