| 2026 | ACL | AI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering? | Maharshi Gor, Yoo Yeon Sung, Yu Hou, Eve Fleisig, Zhu Irene Ying, Tianyi Zhou, Jordan Lee Boyd-Graber |
| 2025 | NAACL | Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness. | Yoo Yeon Sung, Maharshi Gor, Eve Fleisig, Ishani Mondal, Jordan Lee Boyd-Graber |
| 2024 | EMNLP | Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA. | Maharshi Gor, Hal Daum III, Tianyi Zhou, Jordan L. Boyd-Graber |
| 2021 | EMNLP | MATE: Multi-view Attention for Table Transformer Efficiency. | Julian Martin Eisenschlos, Maharshi Gor, Thomas Mller, William W. Cohen |
| 2021 | EMNLP | Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy. | Maharshi Gor, Kellie Webster, Jordan L. Boyd-Graber |
| 2019 | AAAI | BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN. | Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu |
| 2019 | ICCV | GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions. | Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, Venkatesh Babu Radhakrishnan |
| 2019 | WACV | Unsupervised Feature Learning of Human Actions As Trajectories in Pose Embedding Manifold. | Jogendra Nath Kundu, Maharshi Gor, Phani Krishna Uppala, Venkatesh Babu Radhakrishnan |