Nitish Joshi

According to our database, Nitish Joshi authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Personas as a Way to Model Truthfulness in Language Models.

Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He

CoRR, 2023

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples.

Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Seyed Mehran Kazemi, Najoung Kim, He He

CoRR, 2023

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples.

Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Mehran Kazemi, Najoung Kim, He He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations.

Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation.

Aahlad Manas Puli, Nitish Joshi, He He, Rajesh Ranganath

CoRR, 2022

QuALITY: Question Answering with Long Input Texts, Yes!

Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens.

Nitish Joshi, Xiang Pan, He He

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

An Investigation of the (In)effectiveness of Counterfactually Augmented Data.

Nitish Joshi, He He

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Experience of neural machine translation between Indian languages.

Shubham Dewangan, Shreya Alva, Nitish Joshi, Pushpak Bhattacharyya

Mach. Transl., 2021

2020

Coupled Training of Sequence-to-Sequence Models for Accented Speech Recognition.

Vinit Unni, Nitish Joshi, Preethi Jyothi

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Cross-Lingual Training for Automatic Question Generation.

Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension.

Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019