Nitish Joshi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Indian Languages

Deductive Reasoning

Top Venues

Publications

Aahlad Manas Puli, Nitish Joshi, Yoav Wald, He He, Rajesh Ranganath
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation. Trans. Mach. Learn. Res. 2024 (2024)
Nitish Joshi, Abulhair Saparov, Yixin Wang, He He
LLMs Are Prone to Fallacies in Causal Inference. CoRR (2024)
Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. ACL (1) (2023)
Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Seyed Mehran Kazemi, Najoung Kim, He He
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples. CoRR (2023)
Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. CoRR (2023)
Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He
Personas as a Way to Model Truthfulness in Language Models. CoRR (2023)
Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Mehran Kazemi, Najoung Kim, He He
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples. NeurIPS (2023)
Aahlad Manas Puli, Nitish Joshi, He He, Rajesh Ranganath
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation. CoRR (2022)
Nitish Joshi, He He
An Investigation of the (In)effectiveness of Counterfactually Augmented Data. ACL (1) (2022)
Nitish Joshi, Xiang Pan, He He
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens. EMNLP (2022)
Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman
QuALITY: Question Answering with Long Input Texts, Yes! NAACL-HLT (2022)
Nitish Joshi, Xiang Pan, He He
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens. CoRR (2022)
Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman
QuALITY: Question Answering with Long Input Texts, Yes! CoRR (2021)
Shubham Dewangan, Shreya Alva, Nitish Joshi, Pushpak Bhattacharyya
Experience of neural machine translation between Indian languages. Mach. Transl. 35 (1) (2021)
Nitish Joshi, He He
An Investigation of the (In)effectiveness of Counterfactually Augmented Data. CoRR (2021)
Vinit Unni, Nitish Joshi, Preethi Jyothi
Coupled Training of Sequence-to-Sequence Models for Accented Speech Recognition. ICASSP (2020)
Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi
Cross-Lingual Training for Automatic Question Generation. CoRR (2019)
Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi
Cross-Lingual Training for Automatic Question Generation. ACL (1) (2019)
Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension. CoRR (2019)
Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension. ACL (1) (2019)