Rowan Zellers

Computer Science · Physical Sciences

20h-index2.9kcitations44works88.02yr avg
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Research Topics

Topic Modeling(27), Multimodal Machine Learning Applications(24), Natural Language Processing Techniques(20), Domain Adaptation and Few-Shot Learning(8), Human Pose and Action Recognition(4)

Publications43 total

Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning
2023· 14 cited
Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest
2023· 26 citedOpen Access
MAUVE Scores for Generative Models: Theory and Practice
arXiv (Cornell University)·2022· 5 citedOpen Access
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest
arXiv (Cornell University)·2022· 5 citedOpen Access
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks
arXiv (Cornell University)·2022· 110 citedOpen Access
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 9 citedOpen Access
Multimodal Knowledge Alignment with Reinforcement Learning
arXiv (Cornell University)·2022· 17 citedOpen Access
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning
arXiv (Cornell University)·2022Open Access
MERLOT Reserve: Neural Script Knowledge through Vision and Language and\n Sound
arXiv (Cornell University)·2022Open Access
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies·2022· 14 citedOpen Access
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning
Lecture notes in computer science·2022· 20 cited
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies·2022· 45 citedOpen Access
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics
arXiv (Cornell University)·2021· 2 citedOpen Access
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer
arXiv (Cornell University)·2021Open Access
MERLOT: Multimodal Neural Script Knowledge Models
arXiv (Cornell University)·2021· 54 citedOpen Access
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D\n World
arXiv (Cornell University)·2021Open Access
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
arXiv (Cornell University)·2021· 23 citedOpen Access
An Information Divergence Measure Between Neural Text and Human Text
arXiv (Cornell University)·2021· 2 citedOpen Access
MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation.
arXiv (Cornell University)·2021· 2 citedOpen Access
MAUVE: Measuring the Gap Between Neural Text and Human Text using\n Divergence Frontiers
arXiv (Cornell University)·2021· 91 citedOpen Access
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Frequent Co-authors

Yejin Choi(35), Ali Farhadi(13), Jack Hessel(11), Ximing Lu(10), Ronan Le Bras(9), Ari Holtzman(8), Youngjae Yu(8), Yonatan Bisk(7), Swabha Swayamdipta(7), Chandra Bhagavatula(6), Sean Welleck(6), Jena D. Hwang(6), Krishna Pillutla(5), John Thickstun(5), Zaïd Harchaoui(5), Matthew E. Peters(4), Lianhui Qin(4), Jeff Da(4), Roozbeh Mottaghi(3), Aniruddha Kembhavi(3)