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2020 – today

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2022
[c17]
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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
[b1]
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Maxwell Forbes:
From Physical to Social Commonsense: Natural Language and the Natural World. University of Washington, USA, 2021
[c16]
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Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi:
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. AAAI 2021: 12760-12767
[c15]
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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]
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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]
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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]
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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
[i14]
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  - journals/corr/abs-2102-01263
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Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi:
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. CoRR abs/2102.01263 (2021)
[i13]
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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]
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  - journals/corr/abs-2107-01294
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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]
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  - journals/corr/abs-2110-07574
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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
[c11]
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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]
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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]
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Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, Yejin Choi:
The Curious Case of Neural Text Degeneration. ICLR 2020
[i10]
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  - journals/corr/abs-2010-01486
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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]
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  - journals/corr/abs-2011-00620
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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]
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  - journals/corr/abs-2012-04726
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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]
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  - journals/corr/abs-2012-15738
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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)

2010 – 2019

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2019
[c8]
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Maxwell Forbes, Ari Holtzman, Yejin Choi:
Do Neural Language Representations Learn Physical Commonsense? CogSci 2019: 1753-1759
[c7]
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Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge J. Belongie:
Neural Naturalist: Generating Fine-Grained Image Comparisons. EMNLP/IJCNLP (1) 2019: 708-717
[i6]
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  - journals/corr/abs-1904-09751
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Ari Holtzman, Jan Buys, Maxwell Forbes, Yejin Choi:
The Curious Case of Neural Text Degeneration. CoRR abs/1904.09751 (2019)
[i5]
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  - journals/corr/abs-1908-02899
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Maxwell Forbes, Ari Holtzman, Yejin Choi:
Do Neural Language Representations Learn Physical Commonsense? CoRR abs/1908.02899 (2019)
[i4]
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  - journals/corr/abs-1909-04101
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Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge J. Belongie:
Neural Naturalist: Generating Fine-Grained Image Comparisons. CoRR abs/1909.04101 (2019)
2018
[c6]
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Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi:
Learning to Write with Cooperative Discriminators. ACL (1) 2018: 1638-1649
[i3]
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  - journals/corr/abs-1805-06087
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Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi:
Learning to Write with Cooperative Discriminators. CoRR abs/1805.06087 (2018)
[i2]
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  - journals/corr/abs-1805-07719
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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
[c5]
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Maxwell Forbes, Yejin Choi:
Verb Physics: Relative Physical Knowledge of Actions and Objects. ACL (1) 2017: 266-276
[i1]
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Maxwell Forbes, Yejin Choi:
Verb Physics: Relative Physical Knowledge of Actions and Objects. CoRR abs/1706.03799 (2017)
2015
[c4]
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  - conf/icra/ForbesRZC15
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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]
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Yoav Artzi, Maxwell Forbes, Kenton Lee, Maya Cakmak:
Programming by Demonstration with Situated Semantic Parsing. AAAI Fall Symposia 2014
[c2]
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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]
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Michael Jae-Yoon Chung, Maxwell Forbes, Maya Cakmak, Rajesh P. N. Rao:
Accelerating imitation learning through crowdsourcing. ICRA 2014: 4777-4784

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