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Yejin Choi

It's not Rocket Science : Interpreting Figurative Language in Narratives


Aug 31, 2021
Tuhin Chakrabarty, Yejin Choi, Vered Shwartz

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Scarecrow: A Framework for Scrutinizing Machine Text


Jul 06, 2021
Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A. Smith, Yejin Choi

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* The project webpage is at https://yao-dou.github.io/scarecrow/ 
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Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral


Jun 15, 2021
Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaid Harchaoui

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MERLOT: Multimodal Neural Script Knowledge Models


Jun 10, 2021
Rowan Zellers, Ximing Lu, Jack Hessel, Youngjae Yu, Jae Sung Park, Jize Cao, Ali Farhadi, Yejin Choi

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* project page at https://rowanzellers.com/merlot 
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TIMEDIAL: Temporal Commonsense Reasoning in Dialog


Jun 08, 2021
Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi, Manaal Faruqui

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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

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* ACL 2021 camera-ready 
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PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World


Jun 01, 2021
Rowan Zellers, Ari Holtzman, Matthew Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi

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* ACL 2021 camera ready, project page at https://rowanzellers.com/piglet/ 
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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

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* Accepted to ACL 2021, camera-ready version coming soon 
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"I'm Not Mad": Commonsense Implications of Negation and Contradiction


Apr 27, 2021
Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi

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* Camera Ready Version for NAACL 2021 
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Misinfo Belief Frames: A Case Study on Covid & Climate News


Apr 18, 2021
Saadia Gabriel, Skyler Hallinan, Maarten Sap, Pemi Nguyen, Franziska Roesner, Eunsol Choi, Yejin Choi

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CLIPScore: A Reference-free Evaluation Metric for Image Captioning


Apr 18, 2021
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi

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Surface Form Competition: Why the Highest Probability Answer Isn't Always Right


Apr 16, 2021
Ari Holtzman, Peter West, Vered Schwartz, Yejin Choi, Luke Zettlemoyer

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proScript: Partially Ordered Scripts Generation via Pre-trained Language Models


Apr 16, 2021
Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi

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UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark


Mar 24, 2021
Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

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* 27 pages, 19 figures, 34 tables. Accepted to AAAI 2021. For associated code and data see https://github.com/allenai/rainbow 
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NaturalProofs: Mathematical Theorem Proving in Natural Language


Mar 24, 2021
Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hannaneh Hajishirzi, Yejin Choi, Kyunghyun Cho

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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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MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations


Feb 02, 2021
Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi

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* 7 pages, AAAI-21 
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Challenges in Automated Debiasing for Toxic Language Detection


Jan 29, 2021
Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A. Smith, Yejin Choi

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* EACL 2021 
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GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation


Jan 17, 2021
Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld

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VinVL: Making Visual Representations Matter in Vision-Language Models


Jan 02, 2021
Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao

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On-the-Fly Attention Modularization for Neural Generation


Jan 02, 2021
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi

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* 10 pages, 3 figures 
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Understanding Few-Shot Commonsense Knowledge Models


Jan 01, 2021
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut

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Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences


Dec 31, 2020
Denis Emelin, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, Yejin Choi

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* For the 'Moral Stories' dataset, see https://github.com/demelin/moral_stories 
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Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision


Dec 14, 2020
Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi

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* AAAI 2021 
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Edited Media Understanding: Reasoning About Implications of Manipulated Images


Dec 08, 2020
Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi

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Social Chemistry 101: Learning to Reason about Social and Moral Norms


Nov 01, 2020
Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi

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* Published at EMNLP 2020 
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