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REV: Information-Theoretic Evaluation of Free-Text Rationales


Oct 10, 2022
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta


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WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation


Jan 16, 2022
Alisa Liu, Swabha Swayamdipta, Noah A. Smith, Yejin Choi

* preprint 

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Reframing Human-AI Collaboration for Generating Free-Text Explanations


Dec 16, 2021
Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark Riedl, Yejin Choi

* 10 pages main; 13 pages appendix 

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Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection


Nov 15, 2021
Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith


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Information-Theoretic Measures of Dataset Difficulty


Oct 16, 2021
Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta


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Sister Help: Data Augmentation for Frame-Semantic Role Labeling


Sep 16, 2021
Ayush Pancholy, Miriam R. L. Petruck, Swabha Swayamdipta

* Accepted to LAW-DMR at EMNLP 2021 

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DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts


Jun 03, 2021
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi

* ACL 2021 camera-ready 

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On-the-Fly Controlled Text Generation with Experts and Anti-Experts


May 07, 2021
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi

* Accepted to ACL 2021, camera-ready version coming soon 

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Contrastive Explanations for Model Interpretability


Mar 02, 2021
Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg


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


Feb 02, 2021
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaid Harchaoui


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