Nitish Joshi
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QuALITY: Question Answering with Long Input Texts, Yes!
RY Pang, A Parrish, N Joshi, N Nangia, J Phang, A Chen, V Padmakumar, ...
arXiv preprint arXiv:2112.08608, 2021
Cross-Lingual Training for Automatic Question Generation
V Kumar, N Joshi, A Mukherjee, G Ramakrishnan, P Jyothi
arXiv preprint arXiv:1906.02525, 2019
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension
Y Jiang, N Joshi, YC Chen, M Bansal
arXiv preprint arXiv:1906.05210, 2019
An Investigation of the (In) effectiveness of Counterfactually Augmented Data
N Joshi, H He
arXiv preprint arXiv:2107.00753, 2021
Testing the general deductive reasoning capacity of large language models using ood examples
A Saparov, RY Pang, V Padmakumar, N Joshi, M Kazemi, N Kim, H He
Advances in Neural Information Processing Systems 36, 2024
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens
N Joshi, X Pan, H He
arXiv preprint arXiv:2210.14011, 2022
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
C Si, D Friedman, N Joshi, S Feng, D Chen, H He
arXiv preprint arXiv:2305.13299, 2023
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
A Puli, N Joshi, H He, R Ranganath
arXiv preprint arXiv:2210.01302, 2022
Personas as a Way to Model Truthfulness in Language Models
N Joshi, J Rando, A Saparov, N Kim, H He
arXiv preprint arXiv:2310.18168, 2023
Coupled Training of Sequence-to-Sequence Models for Accented Speech Recognition
V Unni, N Joshi, P Jyothi
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Improving Multi-Hop Reasoning in LLMs by Learning from Rich Human Feedback
N Joshi, K Kalyanaraman, Z Hu, K Chellapilla, H He, LE Li
Neuro-Symbolic Learning and Reasoning in the era of Large Language Models, 2023
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