The curious case of neural text degeneration A Holtzman, J Buys, L Du, M Forbes, Y Choi arXiv preprint arXiv:1904.09751, 2019 | 2860 | 2019 |
Clipscore: A reference-free evaluation metric for image captioning J Hessel, A Holtzman, M Forbes, RL Bras, Y Choi arXiv preprint arXiv:2104.08718, 2021 | 897 | 2021 |
Learning to write with cooperative discriminators A Holtzman, J Buys, M Forbes, A Bosselut, D Golub, Y Choi arXiv preprint arXiv:1805.06087, 2018 | 278 | 2018 |
Social chemistry 101: Learning to reason about social and moral norms M Forbes, JD Hwang, V Shwartz, M Sap, Y Choi arXiv preprint arXiv:2011.00620, 2020 | 230 | 2020 |
Is GPT-3 text indistinguishable from human text? scarecrow: A framework for scrutinizing machine text Y Dou, M Forbes, R Koncel-Kedziorski, NA Smith, Y Choi arXiv preprint arXiv:2107.01294, 2021 | 152 | 2021 |
Delphi: Towards machine ethics and norms L Jiang, JD Hwang, C Bhagavatula, R Le Bras, M Forbes, J Borchardt, ... arXiv preprint arXiv:2110.07574 6, 2021 | 127 | 2021 |
Moral stories: Situated reasoning about norms, intents, actions, and their consequences D Emelin, RL Bras, JD Hwang, M Forbes, Y Choi arXiv preprint arXiv:2012.15738, 2020 | 126 | 2020 |
Do neural language representations learn physical commonsense? M Forbes, A Holtzman, Y Choi arXiv preprint arXiv:1908.02899, 2019 | 120 | 2019 |
Verb physics: Relative physical knowledge of actions and objects M Forbes, Y Choi arXiv preprint arXiv:1706.03799, 2017 | 96 | 2017 |
Robot programming by demonstration with situated spatial language understanding M Forbes, RPN Rao, L Zettlemoyer, M Cakmak 2015 IEEE International Conference on Robotics and Automation (ICRA), 2014-2020, 2015 | 84 | 2015 |
Can machines learn morality? the delphi experiment L Jiang, JD Hwang, C Bhagavatula, RL Bras, J Liang, J Dodge, ... arXiv preprint arXiv:2110.07574, 2021 | 74 | 2021 |
Thinking like a skeptic: Defeasible inference in natural language R Rudinger, V Shwartz, JD Hwang, C Bhagavatula, M Forbes, R Le Bras, ... Findings of the Association for Computational Linguistics: EMNLP 2020, 4661-4675, 2020 | 72 | 2020 |
Neural naturalist: Generating fine-grained image comparisons M Forbes, C Kaeser-Chen, P Sharma, S Belongie arXiv preprint arXiv:1909.04101, 2019 | 54 | 2019 |
The curious case of neural text degeneration. CoRR abs/1904.09751 (2019) A Holtzman, J Buys, M Forbes, Y Choi arXiv preprint arXiv:1904.09751, 2019 | 53 | 2019 |
Paragraph-level commonsense transformers with recurrent memory S Gabriel, C Bhagavatula, V Shwartz, R Le Bras, M Forbes, Y Choi Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12857 …, 2021 | 45 | 2021 |
Robot programming by demonstration with crowdsourced action fixes M Forbes, M Chung, M Cakmak, R Rao Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2 …, 2014 | 44 | 2014 |
Accelerating imitation learning through crowdsourcing MJY Chung, M Forbes, M Cakmak, RPN Rao 2014 IEEE International Conference on Robotics and Automation (ICRA), 4777-4784, 2014 | 38 | 2014 |
Edited media understanding frames: Reasoning about the intent and implications of visual misinformation J Da, M Forbes, R Zellers, A Zheng, JD Hwang, A Bosselut, Y Choi Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 15* | 2021 |
Multitalk: A highly-branching dialog testbed for diverse conversations Y Dou, M Forbes, A Holtzman, Y Choi Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12760 …, 2021 | 10 | 2021 |
Balancing shared autonomy with human-robot communication R Scalise, Y Bisk, M Forbes, D Yi, Y Choi, S Srinivasa arXiv preprint arXiv:1805.07719, 2018 | 5 | 2018 |