Datasets: A Community Library for Natural Language Processing. - Quentin Lhoest; Albert Villanova del Moral; Yacine Jernite; Abhishek Thakur; Patrick von Platen; Suraj Patil; Julien Chaumond; Mariama Drame; Julien Plu; Lewis Tunstall; Joe Davison; Mario Sasko; et al. (EMNLP (Demos), 2021)

DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature. - Abheesht Sharma; Gunjan Chhablani; Harshit Pandey; Rajaswa Patil (EMNLP (Demos), 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 (SemEval@ACL/IJCNLP, 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 (SemEval@ACL/IJCNLP, 2021)

Superpixel-based Domain-Knowledge Infusion in Computer Vision. - Gunjan Chhablani; Abheesht Sharma; Harshit Pandey; Tirtharaj Dash (CoRR, 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; et al. (CoRR, 2021)

Superpixel-based knowledge infusion in deep neural networks for image classification. - Gunjan Chhablani; Abheesht Sharma; Harshit Pandey; Tirtharaj Dash (ACM Southeast Regional Conference, 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 002; M. Saiful Bari; Thibault Févry; Zaid Alyafeai; Manan Dey; et al. (ACL (demo), 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; et al. (ICLR, 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 002; M. Saiful Bari; Thibault Févry; Zaid Alyafeai; Manan Dey; et al. (CoRR, 2022)

MultiViz: An Analysis Benchmark for Visualizing and Understanding Multimodal Models. - Paul Pu Liang; Yiwei Lyu; Gunjan Chhablani; Nihal Jain; Zihao Deng; Xingbo Wang 001; Louis-Philippe Morency; Ruslan Salakhutdinov (CoRR, 2022)

MultiViz: Towards User-Centric Visualizations and Interpretations of Multimodal Models. - Paul Pu Liang; Yiwei Lyu; Gunjan Chhablani; Nihal Jain; Zihao Deng; Xingbo Wang 001; Louis-Philippe Morency; Ruslan Salakhutdinov (CHI Extended Abstracts, 2023)

MultiViz: Towards Visualizing and Understanding Multimodal Models. - Paul Pu Liang; Yiwei Lyu; Gunjan Chhablani; Nihal Jain; Zihao Deng; Xingbo Wang 001; Louis-Philippe Morency; Ruslan Salakhutdinov (ICLR, 2023)

GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation. - Mukul Khanna; Ram Ramrakhya; Gunjan Chhablani; Sriram Yenamandra; Théophile Gervet; Matthew Chang; Zsolt Kira; Devendra Singh Chaplot; Dhruv Batra; Roozbeh Mottaghi (CVPR, 2024)

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. - Sriram Yenamandra; Arun Ramachandran; Mukul Khanna; Karmesh Yadav; Jay Vakil; Andrew Melnik; Michael Büttner; Leon Harz; Lyon Brown; Gora Chand Nandi; Arjun P. S; Gaurav Kumar Yadav; et al. (CoRR, 2024)

ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI. - Ahmad Elawady; Gunjan Chhablani; Ram Ramrakhya; Karmesh Yadav; Dhruv Batra; Zsolt Kira; Andrew Szot (CoRR, 2024)

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks. - Matthew Chang; Gunjan Chhablani; Alexander Clegg; Mikael Dallaire Cote; Ruta Desai; Michal Hlavac; Vladimir Karashchuk; Jacob Krantz; Roozbeh Mottaghi; Priyam Parashar; Siddharth Patki; Ishita Prasad; et al. (ICLR, 2025)