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2020 – today
- 2023
[j2]Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui:
MAUVE Scores for Generative Models: Theory and Practice. J. Mach. Learn. Res. 24: 356:1-356:92 (2023)- [c22]Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee
, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi:
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest. ACL (1) 2023: 688-714 - [c21]Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi:
Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning. CVPR 2023: 10845-10856 - [c20]Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi:
UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks. ICLR 2023 - 2022
- [b1]Rowan Zellers:
Grounding Language by Seeing, Hearing, and Interacting. University of Washington, USA, 2022 - [c19]Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi:
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. CVPR 2022: 16354-16366 - [c18]Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi:
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. ECCV (36) 2022: 558-575 - [c17]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. NAACL-HLT 2022: 780-799 - [c16]Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi:
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. NAACL-HLT 2022: 4492-4507 - [i24]Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi:
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. CoRR abs/2201.02639 (2022) - [i23]Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi:
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. CoRR abs/2202.04800 (2022) - [i22]Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi:
Multimodal Knowledge Alignment with Reinforcement Learning. CoRR abs/2205.12630 (2022) - [i21]Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi:
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks. CoRR abs/2206.08916 (2022) - [i20]Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi:
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest. CoRR abs/2209.06293 (2022) - [i19]Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui:
MAUVE Scores for Generative Models: Theory and Practice. CoRR abs/2212.14578 (2022) - 2021
- [c15]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 - [c14]Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi:
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. ACL/IJCNLP (1) 2021: 2040-2050 - [c13]Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. NAACL-HLT 2021: 4288-4299 - [c12]Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi:
TuringAdvice: A Generative and Dynamic Evaluation of Language Use. NAACL-HLT 2021: 4856-4880 - [c11]Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi:
Probing Contextual Language Models for Common Ground with Visual Representations. NAACL-HLT 2021: 5367-5377 - [c10]Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, Zaïd Harchaoui:
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers. NeurIPS 2021: 4816-4828 - [c9]Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi:
MERLOT: Multimodal Neural Script Knowledge Models. NeurIPS 2021: 23634-23651 - [i18]Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaïd Harchaoui:
MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation. CoRR abs/2102.01454 (2021) - [i17]Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi:
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. CoRR abs/2106.00188 (2021) - [i16]Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi:
MERLOT: Multimodal Neural Script Knowledge Models. CoRR abs/2106.02636 (2021) - [i15]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. CoRR abs/2112.08726 (2021) - [i14]Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi:
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer. CoRR abs/2112.08995 (2021) - 2020
- [c8]Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi:
PIQA: Reasoning about Physical Commonsense in Natural Language. AAAI 2020: 7432-7439 - [c7]Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi:
Adversarial Filters of Dataset Biases. ICML 2020: 1078-1088 - [i13]Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi:
Adversarial Filters of Dataset Biases. CoRR abs/2002.04108 (2020) - [i12]Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi:
Evaluating Machines by their Real-World Language Use. CoRR abs/2004.03607 (2020) - [i11]Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi:
Probing Text Models for Common Ground with Visual Representations. CoRR abs/2005.00619 (2020) - [i10]Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. CoRR abs/2010.12884 (2020) - [i9]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)
2010 – 2019
- 2019
- [c6]Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? ACL (1) 2019: 4791-4800 - [c5]Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi:
From Recognition to Cognition: Visual Commonsense Reasoning. CVPR 2019: 6720-6731 - [c4]Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi:
Defending Against Neural Fake News. NeurIPS 2019: 9051-9062 - [i8]Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? CoRR abs/1905.07830 (2019) - [i7]Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi:
Defending Against Neural Fake News. CoRR abs/1905.12616 (2019) - [i6]Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi:
PIQA: Reasoning about Physical Commonsense in Natural Language. CoRR abs/1911.11641 (2019) - 2018
- [c3]Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi:
Neural Motifs: Scene Graph Parsing With Global Context. CVPR 2018: 5831-5840 - [c2]Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi:
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. EMNLP 2018: 93-104 - [i5]Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi:
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. CoRR abs/1808.05326 (2018) - [i4]Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi:
From Recognition to Cognition: Visual Commonsense Reasoning. CoRR abs/1811.10830 (2018) - 2017
- [c1]Rowan Zellers, Yejin Choi:
Zero-Shot Activity Recognition with Verb Attribute Induction. EMNLP 2017: 946-958 - [i3]Rowan Zellers, Yejin Choi:
Zero-Shot Activity Recognition with Verb Attribute Induction. CoRR abs/1707.09468 (2017) - [i2]Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi:
Neural Motifs: Scene Graph Parsing with Global Context. CoRR abs/1711.06640 (2017) - 2016
- [j1]Amir Zadeh, Rowan Zellers, Eli Pincus, Louis-Philippe Morency:
Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messages. IEEE Intell. Syst. 31(6): 82-88 (2016) - [i1]Amir Zadeh, Rowan Zellers, Eli Pincus, Louis-Philippe Morency:
MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos. CoRR abs/1606.06259 (2016)
Coauthor Index
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