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

K. Pillutla, S. Swayamdipta, R. Zellers, J. Thickstun, Y. Choi, and Z. Harchaoui. CoRR, (2021)

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Multimodal Knowledge Alignment with Reinforcement Learning.Y. Yu, J. Chung, H. Yun, J. Hessel, J. Park, X. Lu, P. Ammanabrolu, R. Zellers, R. Bras, G. Kim and 1 other author(s). CoRR, (2022)MAUVE Scores for Generative Models: Theory and Practice.K. Pillutla, L. Liu, J. Thickstun, S. Welleck, S. Swayamdipta, R. Zellers, S. Oh, Y. Choi, and Z. Harchaoui. CoRR, (2022)From Recognition to Cognition: Visual Commonsense Reasoning.R. Zellers, Y. Bisk, A. Farhadi, and Y. Choi. CoRR, (2018)Edited Media Understanding: Reasoning About Implications of Manipulated Images.J. Da, M. Forbes, R. Zellers, A. Zheng, J. Hwang, A. Bosselut, and Y. Choi. CoRR, (2020)MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers.K. Pillutla, S. Swayamdipta, R. Zellers, J. Thickstun, S. Welleck, Y. Choi, and Z. Harchaoui. NeurIPS, page 4816-4828. (2021)Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer.Y. Zhao, J. Hessel, Y. Yu, X. Lu, R. Zellers, and Y. Choi. NAACL-HLT, page 4492-4507. Association for Computational Linguistics, (2022)PIQA: Reasoning about Physical Commonsense in Natural Language.Y. Bisk, R. Zellers, R. Bras, J. Gao, and Y. Choi. CoRR, (2019)Probing Text Models for Common Ground with Visual Representations.G. Ilharco, R. Zellers, A. Farhadi, and H. Hajishirzi. CoRR, (2020)Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer.Y. Zhao, J. Hessel, Y. Yu, X. Lu, R. Zellers, and Y. Choi. CoRR, (2021)NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics.X. Lu, S. Welleck, P. West, L. Jiang, J. Kasai, D. Khashabi, R. Bras, L. Qin, Y. Yu, R. Zellers and 2 other author(s). NAACL-HLT, page 780-799. Association for Computational Linguistics, (2022)

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Disambiguation of "Zellers, Rowan"

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

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Disambiguation of "Zellers, Rowan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation.

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