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ORCIDNihal V. Nayak
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2020 – today
- 2024
[c10]Nihal V. Nayak, Yiyang Nan, Avi Trost, Stephen H. Bach:
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation. ACL (Findings) 2024: 12585-12611- [c9]Martha Lewis, Nihal V. Nayak, Peilin Yu, Jack Merullo, Qinan Yu, Stephen H. Bach, Ellie Pavlick:
Does CLIP Bind Concepts? Probing Compositionality in Large Image Models. EACL (Findings) 2024: 1487-1500 - [i8]Nihal V. Nayak, Yiyang Nan, Avi Trost, Stephen H. Bach:
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation. CoRR abs/2402.18334 (2024) - [i7]Apoorv Khandelwal, Tian Yun, Nihal V. Nayak, Jack Merullo, Stephen H. Bach, Chen Sun, Ellie Pavlick:
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources. CoRR abs/2410.23261 (2024) - 2023
- [c8]Nihal V. Nayak, Peilin Yu, Stephen H. Bach:
Learning to Compose Soft Prompts for Compositional Zero-Shot Learning. ICLR 2023 - 2022
- [j1]Nihal V. Nayak, Stephen H. Bach:
Zero-Shot Learning with Common Sense Knowledge Graphs. Trans. Mach. Learn. Res. 2022 (2022) - [c7]Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari
, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Dragomir R. Radev, Mike Tian-Jian Jiang, Alexander M. Rush:
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. ACL (demo) 2022: 93-104 - [c6]Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M. Rush:
Multitask Prompted Training Enables Zero-Shot Task Generalization. ICLR 2022 - [c5]Wasu Piriyakulkij, Cristina Menghini, Ross Briden, Nihal V. Nayak, Jeffrey Zhu, Elaheh Raisi, Stephen H. Bach:
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data. MLSys 2022 - [i6]Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Mike Tian-Jian Jiang, Alexander M. Rush:
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. CoRR abs/2202.01279 (2022) - [i5]Nihal V. Nayak, Peilin Yu, Stephen H. Bach:
Learning to Compose Soft Prompts for Compositional Zero-Shot Learning. CoRR abs/2204.03574 (2022) - [i4]Nihal V. Nayak, Ethan R. Elenberg, Clemens Rosenbaum:
CEREAL: Few-Sample Clustering Evaluation. CoRR abs/2210.00064 (2022) - 2021
- [i3]Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M. Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush:
Multitask Prompted Training Enables Zero-Shot Task Generalization. CoRR abs/2110.08207 (2021) - [i2]Wasu Piriyakulkij, Cristina Menghini, Ross Briden, Nihal V. Nayak, Jeffrey Zhu, Elaheh Raisi, Stephen H. Bach:
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data. CoRR abs/2111.04798 (2021) - 2020
- [i1]Nihal V. Nayak, Stephen H. Bach:
Zero-Shot Learning with Common Sense Knowledge Graphs. CoRR abs/2006.10713 (2020)
2010 – 2019
- 2019
- [c4]Nihal V. Nayak, Pratheek Mahishi, Sagar Rao:
DEXTER - Data EXTraction & Entity Recognition for Low Resource Datasets. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019 - [c3]Anush Kumar, Nihal V. Nayak, Aditya Chandra, Mydhili K. Nair:
Study on Unsupervised Statistical Machine Translation for Backtranslation. RANLP 2019: 578-582 - 2018
- [c2]Nihal V. Nayak, Arjun R. Rao:
Context Based Approach for Second Language Acquisition. BEA@NAACL-HLT 2018: 212-216 - 2017
- [c1]Nihal V. Nayak, Tanmay Chinchore, Aishwarya Hanumanth Rao, Shane Michael Martin, Sagar Nagaraj Simha, G. M. Lingaraju, H. S. Jamadagni:
V for Vocab: An Intelligent Flashcard Application. ACL (Student Research Workshop) 2017: 24-29
Coauthor Index
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