Rowan Zellers

According to our database, Rowan Zellers authored at least 31 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

MAUVE Scores for Generative Models: Theory and Practice.

Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui

J. Mach. Learn. Res., 2023

UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks.

Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning.

Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest.

Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Grounding Language by Seeing, Hearing, and Interacting

Rowan Zellers

PhD thesis, 2022

Multimodal Knowledge Alignment with Reinforcement Learning.

Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi

CoRR, 2022

Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer.

Yanpeng Zhao, Jack Hessel, Youngjae Yu, Ximing Lu, Rowan Zellers, Yejin Choi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics.

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning.

Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi

Proceedings of the Computer Vision - ECCV 2022, 2022

MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound.

Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation.

Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaïd Harchaoui

CoRR, 2021

MERLOT: Multimodal Neural Script Knowledge Models.

Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers.

Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, Zaïd Harchaoui

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TuringAdvice: A Generative and Dynamic Evaluation of Language Use.

Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints.

Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Probing Contextual Language Models for Common Ground with Visual Representations.

Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World.

Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation.

Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Edited Media Understanding: Reasoning About Implications of Manipulated Images.

Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi

CoRR, 2020

Probing Text Models for Common Ground with Visual Representations.

Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi

CoRR, 2020

Evaluating Machines by their Real-World Language Use.

Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi

CoRR, 2020

Adversarial Filters of Dataset Biases.

Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi

Proceedings of the 37th International Conference on Machine Learning, 2020

PIQA: Reasoning about Physical Commonsense in Natural Language.

Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Defending Against Neural Fake News.

Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

From Recognition to Cognition: Visual Commonsense Reasoning.

Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

HellaSwag: Can a Machine Really Finish Your Sentence?

Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference.

Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Motifs: Scene Graph Parsing With Global Context.

Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Zero-Shot Activity Recognition with Verb Attribute Induction.

Rowan Zellers, Yejin Choi

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messages.

Amir Zadeh, Rowan Zellers, Eli Pincus, Louis-Philippe Morency

IEEE Intell. Syst., 2016

MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos.

Amir Zadeh, Rowan Zellers, Eli Pincus, Louis-Philippe Morency

CoRR, 2016