| Self-refine: Iterative refinement with self-feedback A Madaan, N Tandon, P Gupta, S Hallinan, L Gao, S Wiegreffe, U Alon, ... Advances in Neural Information Processing Systems 36, 46534-46594, 2023 | 2991 | 2023 |
| A dataset for movie description A Rohrbach, M Rohrbach, N Tandon, B Schiele Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 711 | 2015 |
| Can AI language models replace human participants? D Dillion, N Tandon, Y Gu, K Gray Trends in Cognitive Sciences 27 (7), 597-600, 2023 | 584 | 2023 |
| Movie description A Rohrbach, A Torabi, M Rohrbach, N Tandon, C Pal, H Larochelle, ... International Journal of Computer Vision 123 (1), 94-120, 2017 | 493 | 2017 |
| Webchild: Harvesting and organizing commonsense knowledge from the web N Tandon, G De Melo, F Suchanek, G Weikum Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 210 | 2014 |
| Holodeck: Language guided generation of 3d embodied ai environments Y Yang, FY Sun, L Weihs, E VanderBilt, A Herrasti, W Han, J Wu, N Haber, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 205 | 2024 |
| Memory-assisted prompt editing to improve GPT-3 after deployment A Madaan, N Tandon, P Clark, Y Yang arXiv preprint arXiv:2201.06009, 2022 | 180 | 2022 |
| Tracking state changes in procedural text: a challenge dataset and models for process paragraph comprehension B Dalvi, L Huang, N Tandon, W Yih, P Clark Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 168 | 2018 |
| Rl4f: Generating natural language feedback with reinforcement learning for repairing model outputs AF Akyürek, E Akyürek, A Kalyan, P Clark, DT Wijaya, N Tandon Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 145 | 2023 |
| From ‘f’to ‘a’on the ny regents science exams: An overview of the aristo project P Clark, O Etzioni, T Khot, D Khashabi, B Mishra, K Richardson, ... Ai Magazine 41 (4), 39-53, 2020 | 138 | 2020 |
| Webchild 2.0: Fine-grained commonsense knowledge distillation N Tandon, G De Melo, G Weikum Proceedings of ACL 2017, system demonstrations, 115-120, 2017 | 133 | 2017 |
| Learning language-visual embedding for movie understanding with natural-language A Torabi, N Tandon, L Sigal arXiv preprint arXiv:1609.08124, 2016 | 131 | 2016 |
| Commonsense knowledge in machine intelligence N Tandon, AS Varde, G de Melo ACM SIGMOD Record 46 (4), 49-52, 2018 | 123 | 2018 |
| Wiqa: A dataset for" what if..." reasoning over procedural text N Tandon, BD Mishra, K Sakaguchi, A Bosselut, P Clark arXiv preprint arXiv:1909.04739, 2019 | 116 | 2019 |
| Reasoning about actions and state changes by injecting commonsense knowledge N Tandon, B Dalvi, J Grus, W Yih, A Bosselut, P Clark Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 101 | 2018 |
| Aligning language models to user opinions EJ Hwang, B Majumder, N Tandon Findings of the Association for Computational Linguistics: EMNLP 2023, 5906-5919, 2023 | 99 | 2023 |
| Self-refine: Iterative refinement with self-feedback, 2023 A Madaan, N Tandon, P Gupta, S Hallinan, L Gao, S Wiegreffe, U Alon, ... URL https://arxiv. org/abs/2303.17651, 2023 | 98 | 2023 |
| Domain-targeted, high precision knowledge extraction B Dalvi, N Tandon, P Clark Transactions of the Association for Computational Linguistics 5, 233-246, 2017 | 81 | 2017 |
| proscript: Partially ordered scripts generation via pre-trained language models K Sakaguchi, C Bhagavatula, RL Bras, N Tandon, P Clark, Y Choi arXiv preprint arXiv:2104.08251, 2021 | 80 | 2021 |
| Acquiring comparative commonsense knowledge from the web N Tandon, G Melo, G Weikum Proceedings of the AAAI conference on artificial intelligence 28 (1), 2014 | 75 | 2014 |
