Rowan Zellers

49 papers A* 12Journal 26Unranked 10
YearRankTypeTitle / Venue / Authors
2023 — conf
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest.
ACL (1)
Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi
2023 A* conf
Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning.
CVPR
Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi
2023 J jnl
MAUVE Scores for Generative Models: Theory and Practice.
J. Mach. Learn. Res.
Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui
2023 A* conf
UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks.
ICLR
Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi
2022 — conf
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer.
NAACL-HLT
Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi
2022 J jnl
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest.
CoRR
Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi
2022 — —
Grounding Language by Seeing, Hearing, and Interacting
Rowan Zellers
2022 J jnl
MAUVE Scores for Generative Models: Theory and Practice.
CoRR
Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui
2022 A* conf
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound.
CVPR
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
2022 J jnl
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound.
CoRR
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
2022 J jnl
Multimodal Knowledge Alignment with Reinforcement Learning.
CoRR
Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi
2022 — conf
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics.
NAACL-HLT
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
2022 — conf
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning.
ECCV (36)
Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi
2022 J jnl
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning.
CoRR
Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi
2022 J jnl
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks.
CoRR
Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi
2021 J jnl
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer.
CoRR
Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi
2021 — conf
Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation.
ACL/IJCNLP (1)
Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi
2021 J jnl
MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation.
CoRR
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaïd Harchaoui
2021 A* conf
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers.
NeurIPS
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, Zaïd Harchaoui
2021 A* conf
MERLOT: Multimodal Neural Script Knowledge Models.
NeurIPS
Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
2021 J jnl
MERLOT: Multimodal Neural Script Knowledge Models.
CoRR
Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi
2021 J jnl
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics.
CoRR
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
2021 — conf
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints.
NAACL-HLT
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2021 — conf
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World.
ACL/IJCNLP (1)
Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi
2021 J jnl
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World.
CoRR
Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi
2021 — conf
Probing Contextual Language Models for Common Ground with Visual Representations.
NAACL-HLT
Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi
2021 — conf
TuringAdvice: A Generative and Dynamic Evaluation of Language Use.
NAACL-HLT
Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi
2020 A* conf
Adversarial Filters of Dataset Biases.
ICML
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
2020 J jnl
Adversarial Filters of Dataset Biases.
CoRR
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
2020 J jnl
Edited Media Understanding: Reasoning About Implications of Manipulated Images.
CoRR
Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi
2020 J jnl
Evaluating Machines by their Real-World Language Use.
CoRR
Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi
2020 J jnl
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints.
CoRR
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2020 A* conf
PIQA: Reasoning about Physical Commonsense in Natural Language.
AAAI
Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi
2020 J jnl
Probing Text Models for Common Ground with Visual Representations.
CoRR
Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi
2019 A* conf
Defending Against Neural Fake News.
NeurIPS
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi
2019 J jnl
Defending Against Neural Fake News.
CoRR
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi
2019 A* conf
From Recognition to Cognition: Visual Commonsense Reasoning.
CVPR
Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi
2019 — conf
HellaSwag: Can a Machine Really Finish Your Sentence?
ACL (1)
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi
2019 J jnl
HellaSwag: Can a Machine Really Finish Your Sentence?
CoRR
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi
2019 J jnl
PIQA: Reasoning about Physical Commonsense in Natural Language.
CoRR
Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi
2018 J jnl
From Recognition to Cognition: Visual Commonsense Reasoning.
CoRR
Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi
2018 A* conf
Neural Motifs: Scene Graph Parsing With Global Context.
CVPR
Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi
2018 A* conf
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference.
EMNLP
Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi
2018 J jnl
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference.
CoRR
Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi
2017 J jnl
Neural Motifs: Scene Graph Parsing with Global Context.
CoRR
Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi
2017 A* conf
Zero-Shot Activity Recognition with Verb Attribute Induction.
EMNLP
Rowan Zellers, Yejin Choi
2017 J jnl
Zero-Shot Activity Recognition with Verb Attribute Induction.
CoRR
Rowan Zellers, Yejin Choi
2016 J jnl
MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos.
CoRR
Amir Zadeh, Rowan Zellers, Eli Pincus, Louis-Philippe Morency
2016 J jnl
Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messages.
IEEE Intell. Syst.
Amir Zadeh, Rowan Zellers, Eli Pincus, Louis-Philippe Morency