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Generated Knowledge Prompting for Commonsense Reasoning


Oct 15, 2021
Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi


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Delphi: Towards Machine Ethics and Norms


Oct 14, 2021
Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Maxwell Forbes, Jon Borchardt, Jenny Liang, Oren Etzioni, Maarten Sap, Yejin Choi


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Symbolic Knowledge Distillation: from General Language Models to Commonsense Models


Oct 14, 2021
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, 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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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

* 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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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

* For the 'Moral Stories' dataset, see https://github.com/demelin/moral_stories 

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


Oct 24, 2020
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi


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Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning


Oct 20, 2020
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi

* EMNLP 2020 

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Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs


Oct 15, 2020
Ana Marasović, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi

* Accepted to Findings of EMNLP 

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COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs


Oct 12, 2020
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi


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Paragraph-Level Commonsense Transformers with Recurrent Memory


Oct 04, 2020
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi


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Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes


Aug 20, 2020
Nicholas Lourie, Ronan Le Bras, Yejin Choi

* 16 pages, 15 tables, 8 figures. For associated code and data, see https://github.com/allenai/scruples 

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G-DAUG: Generative Data Augmentation for Commonsense Reasoning


Apr 24, 2020
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey


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Unsupervised Commonsense Question Answering with Self-Talk


Apr 11, 2020
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi


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Adversarial Filters of Dataset Biases


Feb 20, 2020
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi


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PIQA: Reasoning about Physical Commonsense in Natural Language


Nov 26, 2019
Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi

* AAAI 2020 

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Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning


Sep 06, 2019
Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

* EMNLP'2019 

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Abductive Commonsense Reasoning


Aug 15, 2019
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi

* Pre-print 

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WINOGRANDE: An Adversarial Winograd Schema Challenge at Scale


Jul 24, 2019
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi


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Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery


Oct 07, 2016
Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert B. van Dover, John Gregoire, Carla P. Gomes


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Variable Elimination in the Fourier Domain


Jun 22, 2016
Yexiang Xue, Stefano Ermon, Ronan Le Bras, Carla P. Gomes, Bart Selman

* Proceedings of the 33rd International Conference on Machine Learning (ICML), 2016 

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Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery


Nov 27, 2014
Stefano Ermon, Ronan Le Bras, Santosh K. Suram, John M. Gregoire, Carla Gomes, Bart Selman, Robert B. van Dover


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