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Maxwell Forbes
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Books and Theses
- 2021
- [b1]Maxwell Forbes:
From Physical to Social Commonsense: Natural Language and the Natural World. University of Washington, USA, 2021
Conference and Workshop Papers
- 2022
- [c17]Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi:
Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text. ACL (1) 2022: 7250-7274 - 2021
- [c16]Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi:
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. AAAI 2021: 12760-12767 - [c15]Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi:
Paragraph-level Commonsense Transformers with Recurrent Memory. AAAI 2021: 12857-12865 - [c14]Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut
, Yejin Choi:
Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation. ACL/IJCNLP (1) 2021: 2026-2039 - [c13]Denis Emelin, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, Yejin Choi:
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences. EMNLP (1) 2021: 698-718 - [c12]Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi:
CLIPScore: A Reference-free Evaluation Metric for Image Captioning. EMNLP (1) 2021: 7514-7528 - 2020
- [c11]Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi:
Social Chemistry 101: Learning to Reason about Social and Moral Norms. EMNLP (1) 2020: 653-670 - [c10]Rachel Rudinger
, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Thinking Like a Skeptic: Defeasible Inference in Natural Language. EMNLP (Findings) 2020: 4661-4675 - [c9]Ari Holtzman, Jan Buys
, Li Du, Maxwell Forbes, Yejin Choi:
The Curious Case of Neural Text Degeneration. ICLR 2020 - 2019
- [c8]Maxwell Forbes, Ari Holtzman, Yejin Choi:
Do Neural Language Representations Learn Physical Commonsense? CogSci 2019: 1753-1759 - [c7]Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge J. Belongie:
Neural Naturalist: Generating Fine-Grained Image Comparisons. EMNLP/IJCNLP (1) 2019: 708-717 - 2018
- [c6]Ari Holtzman, Jan Buys
, Maxwell Forbes, Antoine Bosselut
, David Golub, Yejin Choi:
Learning to Write with Cooperative Discriminators. ACL (1) 2018: 1638-1649 - 2017
- [c5]Maxwell Forbes, Yejin Choi:
Verb Physics: Relative Physical Knowledge of Actions and Objects. ACL (1) 2017: 266-276 - 2015
- [c4]Maxwell Forbes, Rajesh P. N. Rao
, Luke Zettlemoyer, Maya Cakmak:
Robot Programming by Demonstration with situated spatial language understanding. ICRA 2015: 2014-2020 - 2014
- [c3]Yoav Artzi, Maxwell Forbes, Kenton Lee, Maya Cakmak:
Programming by Demonstration with Situated Semantic Parsing. AAAI Fall Symposia 2014 - [c2]Maxwell Forbes, Michael Jae-Yoon Chung, Maya Cakmak, Rajesh P. N. Rao:
Robot Programming by Demonstration with Crowdsourced Action Fixes. HCOMP 2014: 67-76 - [c1]Michael Jae-Yoon Chung, Maxwell Forbes, Maya Cakmak, Rajesh P. N. Rao
:
Accelerating imitation learning through crowdsourcing. ICRA 2014: 4777-4784
Informal and Other Publications
- 2021
- [i14]Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi:
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. CoRR abs/2102.01263 (2021) - [i13]Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi:
CLIPScore: A Reference-free Evaluation Metric for Image Captioning. CoRR abs/2104.08718 (2021) - [i12]Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi:
Scarecrow: A Framework for Scrutinizing Machine Text. CoRR abs/2107.01294 (2021) - [i11]Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Maxwell Forbes, Jonathan Borchardt, Jenny T. Liang, Oren Etzioni, Maarten Sap, Yejin Choi:
Delphi: Towards Machine Ethics and Norms. CoRR abs/2110.07574 (2021) - 2020
- [i10]Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi:
Paragraph-Level Commonsense Transformers with Recurrent Memory. CoRR abs/2010.01486 (2020) - [i9]Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi:
Social Chemistry 101: Learning to Reason about Social and Moral Norms. CoRR abs/2011.00620 (2020) - [i8]Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi:
Edited Media Understanding: Reasoning About Implications of Manipulated Images. CoRR abs/2012.04726 (2020) - [i7]Denis Emelin, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, Yejin Choi:
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences. CoRR abs/2012.15738 (2020) - 2019
- [i6]Ari Holtzman, Jan Buys, Maxwell Forbes, Yejin Choi:
The Curious Case of Neural Text Degeneration. CoRR abs/1904.09751 (2019) - [i5]Maxwell Forbes, Ari Holtzman, Yejin Choi:
Do Neural Language Representations Learn Physical Commonsense? CoRR abs/1908.02899 (2019) - [i4]Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge J. Belongie:
Neural Naturalist: Generating Fine-Grained Image Comparisons. CoRR abs/1909.04101 (2019) - 2018
- [i3]Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi:
Learning to Write with Cooperative Discriminators. CoRR abs/1805.06087 (2018) - [i2]Rosario Scalise, Yonatan Bisk, Maxwell Forbes, Daqing Yi, Yejin Choi, Siddhartha S. Srinivasa:
Balancing Shared Autonomy with Human-Robot Communication. CoRR abs/1805.07719 (2018) - 2017
- [i1]Maxwell Forbes, Yejin Choi:
Verb Physics: Relative Physical Knowledge of Actions and Objects. CoRR abs/1706.03799 (2017)
Coauthor Index
![](https://dblp.uni-trier.de./img/cog.dark.24x24.png)
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