Abheesht Sharma

According to our database, Abheesht Sharma authored at least 12 papers between 2020 and 2022.

Collaborative distances:

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

2022

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts.

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

CoRR, 2022

Multitask Prompted Training Enables Zero-Shot Task Generalization.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

AnEMIC: A Framework for Benchmarking ICD Coding Models.

Juyong Kim, Abheesht Sharma, Suhas Shanbhogue, Jeremy C. Weiss, Pradeep Ravikumar

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

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts.

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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

Superpixel-based knowledge infusion in deep neural networks for image classification.

Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Tirtharaj Dash

Proceedings of the ACM SE '22: 2022 ACM Southeast Conference, Virtual Event, April 18, 2022

2021

Multitask Prompted Training Enables Zero-Shot Task Generalization.

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

CoRR, 2021

Superpixel-based Domain-Knowledge Infusion in Computer Vision.

Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Tirtharaj Dash

CoRR, 2021

LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting.

Abheesht Sharma, Harshit Pandey, Gunjan Chhablani, Yash Bhartia, Tirtharaj Dash

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques.

Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Yash Bhartia, Shan Suthaharan

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature.

Abheesht Sharma, Gunjan Chhablani, Harshit Pandey, Rajaswa Patil

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

2020

LRG at TREC 2020: Document Ranking with XLNet-Based Models.

Abheesht Sharma, Harshit Pandey

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

A Novel 3D-Unet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation.

Mansi Sharma, Abheesht Sharma, Kadvekar Rohit Tushar, Avinash Panneer

Proceedings of the International Conference on 3D Immersion, 2020