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ORCIDRonan Le Bras 0001
Ronan LeBras
Person information
- affiliation: Allen Institute for AI, Seattle, WA, USA
- affiliation (former): Cornell University
Other persons with the same name
- Ronan Le Bras 0002
![[0000-0003-2439-6938]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2439-6938")
— Comprehensive Nuclear-Test Ban Treaty Organization, Vienna, Austria
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Books and Theses
- 2016
[b1]Ronan Le Bras:
Leveraging Human Insights Into Problem Structure for Scientific Discovery. Cornell University, USA, 2016
Journal Articles
- 2021
- [j4]Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
WinoGrande: an adversarial winograd schema challenge at scale. Commun. ACM 64(9): 99-106 (2021) - 2018
- [j3]Junwen Bai, Yexiang Xue, Johan Bjorck, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes:
Phase Mapper: Accelerating Materials Discovery with AI. AI Mag. 39(1): 15-26 (2018) - 2015
- [j2]Tao Zou, Ronan Le Bras, Marcos Antonio Vaz Salles, Alan J. Demers, Johannes Gehrke:
ClouDiA: a deployment advisor for public clouds. VLDB J. 24(5): 633-653 (2015) - 2012
- [j1]Tao Zou, Ronan Le Bras, Marcos Antonio Vaz Salles, Alan J. Demers, Johannes Gehrke:
ClouDiA: A Deployment Advisor for Public Clouds. Proc. VLDB Endow. 6(2): 109-120 (2012)
Conference and Workshop Papers
- 2023
- [c61]Wangchunshu Zhou, Ronan Le Bras, Yejin Choi:
Commonsense Knowledge Transfer for Pre-trained Language Models. ACL (Findings) 2023: 5946-5960 - [c60]Sebastin Santy, Jenny T. Liang, Ronan Le Bras, Katharina Reinecke, Maarten Sap:
NLPositionality: Characterizing Design Biases of Datasets and Models. ACL (1) 2023: 9080-9102 - [c59]Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi:
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. ACL (1) 2023: 9614-9630 - [c58]Wangchunshu Zhou, Ronan Le Bras, Yejin Choi:
Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference. ACL (Findings) 2023: 10452-10465 - [c57]Julia Mendelsohn, Ronan Le Bras, Yejin Choi, Maarten Sap:
From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models. ACL (1) 2023: 15162-15180 - [c56]Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi:
Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning. CVPR 2023: 10845-10856 - [c55]Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi:
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. EMNLP (Findings) 2023: 1127-1149 - [c54]Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi:
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. EMNLP 2023: 12930-12949 - [c53]Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap:
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions. EMNLP 2023: 14397-14413 - [c52]Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi:
Faith and Fate: Limits of Transformers on Compositionality. NeurIPS 2023 - [c51]Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui:
RealTime QA: What's the Answer Right Now? NeurIPS 2023 - 2022
- [c50]Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi:
Generated Knowledge Prompting for Commonsense Reasoning. ACL (1) 2022: 3154-3169 - [c49]Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi:
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. EMNLP 2022: 1266-1279 - [c48]Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi:
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. EMNLP 2022: 3762-3780 - [c47]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. EMNLP 2022: 4909-4923 - [c46]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. NAACL-HLT 2022: 780-799 - [c45]Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith:
Transparent Human Evaluation for Image Captioning. NAACL-HLT 2022: 3464-3478 - [c44]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith:
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. NAACL-HLT 2022: 3540-3557 - [c43]Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi:
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. NAACL-HLT 2022: 4602-4625 - 2021
- [c42]Antoine Bosselut, Ronan Le Bras, Yejin Choi:
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. AAAI 2021: 4923-4931 - [c41]Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi:
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. AAAI 2021: 6384-6392 - [c40]Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi:
Paragraph-level Commonsense Transformers with Recurrent Memory. AAAI 2021: 12857-12865 - [c39]Nicholas Lourie, Ronan Le Bras, Yejin Choi:
SCRUPLES: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes. AAAI 2021: 13470-13479 - [c38]Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. AAAI 2021: 13480-13488 - [c37]Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut:
Analyzing Commonsense Emergence in Few-shot Knowledge Models. AKBC 2021 - [c36]Denis Emelin, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, Yejin Choi:
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences. EMNLP (1) 2021: 698-718 - [c35]Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi:
proScript: Partially Ordered Scripts Generation. EMNLP (Findings) 2021: 2138-2149 - [c34]Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi:
CLIPScore: A Reference-free Evaluation Metric for Image Captioning. EMNLP (1) 2021: 7514-7528 - [c33]Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. NAACL-HLT 2021: 4288-4299 - [c32]Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant:
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification. NeurIPS Datasets and Benchmarks 2021 - [c31]Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hanna Hajishirzi, Yejin Choi, Kyunghyun Cho:
NaturalProofs: Mathematical Theorem Proving in Natural Language. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c30]Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi:
PIQA: Reasoning about Physical Commonsense in Natural Language. AAAI 2020: 7432-7439 - [c29]Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
WinoGrande: An Adversarial Winograd Schema Challenge at Scale. AAAI 2020: 8732-8740 - [c28]Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi:
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. EMNLP (1) 2020: 794-805 - [c27]Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey:
G-DAug: Generative Data Augmentation for Commonsense Reasoning. EMNLP (Findings) 2020: 1008-1025 - [c26]Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. EMNLP (Findings) 2020: 2810-2829 - [c25]Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Unsupervised Commonsense Question Answering with Self-Talk. EMNLP (1) 2020: 4615-4629 - [c24]Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Thinking Like a Skeptic: Defeasible Inference in Natural Language. EMNLP (Findings) 2020: 4661-4675 - [c23]Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi:
Abductive Commonsense Reasoning. ICLR 2020 - [c22]Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi:
Adversarial Filters of Dataset Biases. ICML 2020: 1078-1088 - 2019
- [c21]Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. AAAI 2019: 3027-3035 - [c20]Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. EMNLP/IJCNLP (1) 2019: 2391-2401 - [c19]Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi:
Social IQa: Commonsense Reasoning about Social Interactions. EMNLP/IJCNLP (1) 2019: 4462-4472 - [c18]Mark Hopkins, Ronan Le Bras, Cristian Petrescu-Prahova, Gabriel Stanovsky, Hannaneh Hajishirzi, Rik Koncel-Kedziorski:
SemEval-2019 Task 10: Math Question Answering. SemEval@NAACL-HLT 2019: 893-899 - 2017
- [c17]Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes:
Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. AAAI 2017: 4635-4643 - [c16]Mateo Díaz, Ronan Le Bras, Carla P. Gomes:
In Search of Balance: The Challenge of Generating Balanced Latin Rectangles. CPAIOR 2017: 68-76 - [c15]Mark Hopkins, Cristian Petrescu-Prahova, Roie Levin, Ronan Le Bras, Alvaro Herrasti, Vidur Joshi:
Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers. EMNLP 2017: 795-804 - 2016
- [c14]Yexiang Xue, Stefano Ermon, Ronan Le Bras, Carla P. Gomes, Bart Selman:
Variable Elimination in the Fourier Domain. ICML 2016: 285-294 - 2015
- [c13]Stefano Ermon, Ronan Le Bras, Santosh K. Suram, John M. Gregoire, Carla P. Gomes, Bart Selman, Robert Bruce van Dover:
Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery. AAAI 2015: 636-643 - 2014
- [c12]Ronan Le Bras, Richard Bernstein, John M. Gregoire, Santosh K. Suram, Carla P. Gomes, Bart Selman, R. Bruce van Dover:
Challenges in Materials Discovery - Synthetic Generator and Real Datasets. AAAI 2014: 438-443 - [c11]Ronan Le Bras, Carla P. Gomes, Bart Selman:
On the Erdős Discrepancy Problem. CP 2014: 440-448 - [c10]Ronan Le Bras, Yexiang Xue, Richard Bernstein, Carla P. Gomes, Bart Selman:
A Human Computation Framework for Boosting Combinatorial Solvers. HCOMP 2014: 121-132 - 2013
- [c9]Ronan LeBras, Bistra Dilkina, Yexiang Xue, Carla P. Gomes, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery:
Robust Network Design For Multispecies Conservation. AAAI 2013: 1305-1312 - [c8]Bistra Dilkina, Katherine J. Lai, Ronan LeBras, Yexiang Xue, Carla P. Gomes, Ashish Sabharwal, Jordan Suter, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery:
Large Landscape Conservation - Synthetic and Real-World Datasets. AAAI 2013: 1369-1372 - [c7]Ronan LeBras, Carla P. Gomes, Bart Selman:
Double-Wheel Graphs Are Graceful. IJCAI 2013: 587-593 - [c6]Ronan LeBras, Richard Bernstein, Carla P. Gomes, Bart Selman, R. Bruce van Dover:
Crowdsourcing Backdoor Identification for Combinatorial Optimization. IJCAI 2013: 2840-2847 - [c5]Marcelo Finger, Ronan LeBras, Carla P. Gomes, Bart Selman:
Solutions for Hard and Soft Constraints Using Optimized Probabilistic Satisfiability. SAT 2013: 233-249 - 2012
- [c4]Ronan LeBras, Carla P. Gomes, Bart Selman:
From Streamlined Combinatorial Search to Efficient Constructive Procedures. AAAI 2012: 499-506 - [c3]Stefano Ermon, Ronan LeBras, Carla P. Gomes, Bart Selman, R. Bruce van Dover:
SMT-Aided Combinatorial Materials Discovery. SAT 2012: 172-185 - 2011
- [c2]Ronan LeBras, Theodoros Damoulas, John M. Gregoire, Ashish Sabharwal, Carla P. Gomes, R. Bruce van Dover:
Constraint Reasoning and Kernel Clustering for Pattern Decomposition with Scaling. CP 2011: 508-522 - 2009
- [c1]Ronan LeBras, Alessandro Zanarini, Gilles Pesant:
Efficient Generic Search Heuristics within the EMBP Framework. CP 2009: 539-553
Informal and Other Publications
- 2023
- [i49]Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl:
Improving Language Models with Advantage-based Offline Policy Gradients. CoRR abs/2305.14718 (2023) - [i48]Julia Mendelsohn, Ronan Le Bras, Yejin Choi, Maarten Sap:
From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models. CoRR abs/2305.17174 (2023) - [i47]Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi:
Faith and Fate: Limits of Transformers on Compositionality. CoRR abs/2305.18654 (2023) - [i46]Sebastin Santy, Jenny T. Liang, Ronan Le Bras, Katharina Reinecke, Maarten Sap:
NLPositionality: Characterizing Design Biases of Datasets and Models. CoRR abs/2306.01943 (2023) - [i45]Wangchunshu Zhou, Ronan Le Bras, Yejin Choi:
Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference. CoRR abs/2306.02379 (2023) - [i44]Wangchunshu Zhou, Ronan Le Bras, Yejin Choi:
Commonsense Knowledge Transfer for Pre-trained Language Models. CoRR abs/2306.02388 (2023) - [i43]Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap:
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions. CoRR abs/2310.15421 (2023) - [i42]Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman:
MacGyver: Are Large Language Models Creative Problem Solvers? CoRR abs/2311.09682 (2023) - [i41]Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi:
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. CoRR abs/2312.05979 (2023) - 2022
- [i40]Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant:
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification. CoRR abs/2201.05320 (2022) - [i39]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Beam Decoding with Controlled Patience. CoRR abs/2204.05424 (2022) - [i38]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. CoRR abs/2205.09273 (2022) - [i37]Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi:
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. CoRR abs/2205.11822 (2022) - [i36]Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi:
Multimodal Knowledge Alignment with Reinforcement Learning. CoRR abs/2205.12630 (2022) - [i35]Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir R. Radev, Noah A. Smith, Yejin Choi, Kentaro Inui:
RealTime QA: What's the Answer Right Now? CoRR abs/2207.13332 (2022) - [i34]Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi:
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. CoRR abs/2210.13312 (2022) - [i33]Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi:
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. CoRR abs/2212.09246 (2022) - [i32]Hyunwoo Kim, Jack Hessel, Liwei Jiang, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi:
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. CoRR abs/2212.10465 (2022) - 2021
- [i31]Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut:
Understanding Few-Shot Commonsense Knowledge Models. CoRR abs/2101.00297 (2021) - [i30]Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. CoRR abs/2103.13009 (2021) - [i29]Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hannaneh Hajishirzi, Yejin Choi, Kyunghyun Cho:
NaturalProofs: Mathematical Theorem Proving in Natural Language. CoRR abs/2104.01112 (2021) - [i28]Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi:
proScript: Partially Ordered Scripts Generation via Pre-trained Language Models. CoRR abs/2104.08251 (2021) - [i27]Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi:
CLIPScore: A Reference-free Evaluation Metric for Image Captioning. CoRR abs/2104.08718 (2021) - [i26]Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi:
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models. CoRR abs/2110.07178 (2021) - [i25]Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Maxwell Forbes, Jonathan Borchardt, Jenny T. Liang, Oren Etzioni, Maarten Sap, Yejin Choi:
Delphi: Towards Machine Ethics and Norms. CoRR abs/2110.07574 (2021) - [i24]Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi:
Generated Knowledge Prompting for Commonsense Reasoning. CoRR abs/2110.08387 (2021) - [i23]Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith:
Transparent Human Evaluation for Image Captioning. CoRR abs/2111.08940 (2021) - [i22]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith:
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. CoRR abs/2112.04139 (2021) - [i21]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. CoRR abs/2112.08726 (2021) - 2020
- [i20]Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi:
Adversarial Filters of Dataset Biases. CoRR abs/2002.04108 (2020) - [i19]Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Unsupervised Commonsense Question Answering with Self-Talk. CoRR abs/2004.05483 (2020) - [i18]Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey:
G-DAUG: Generative Data Augmentation for Commonsense Reasoning. CoRR abs/2004.11546 (2020) - [i17]Nicholas Lourie, Ronan Le Bras, Yejin Choi:
Scruples: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes. CoRR abs/2008.09094 (2020) - [i16]Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi:
Paragraph-Level Commonsense Transformers with Recurrent Memory. CoRR abs/2010.01486 (2020) - [i15]Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi:
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. CoRR abs/2010.05906 (2020) - [i14]Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi:
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs. CoRR abs/2010.05953 (2020) - [i13]Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi:
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs. CoRR abs/2010.07526 (2020) - [i12]Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. CoRR abs/2010.12884 (2020) - [i11]Denis Emelin, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, Yejin Choi:
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences. CoRR abs/2012.15738 (2020) - 2019
- [i10]Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi:
SocialIQA: Commonsense Reasoning about Social Interactions. CoRR abs/1904.09728 (2019) - [i9]Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
WINOGRANDE: An Adversarial Winograd Schema Challenge at Scale. CoRR abs/1907.10641 (2019) - [i8]Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi:
Abductive Commonsense Reasoning. CoRR abs/1908.05739 (2019) - [i7]Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. CoRR abs/1909.00277 (2019) - [i6]Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi:
PIQA: Reasoning about Physical Commonsense in Natural Language. CoRR abs/1911.11641 (2019) - 2018
- [i5]Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi:
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. CoRR abs/1811.00146 (2018) - 2016
- [i4]Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert Bruce van Dover, John M. Gregoire, Carla P. Gomes:
Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. CoRR abs/1610.00689 (2016) - 2015
- [i3]Yexiang Xue, Stefano Ermon, Ronan Le Bras, Carla P. Gomes, Bart Selman:
Variable Elimination in Fourier Domain. CoRR abs/1508.04032 (2015) - 2014
- [i2]Ronan Le Bras, Carla P. Gomes, Bart Selman:
On the Erdos Discrepancy Problem. CoRR abs/1407.2510 (2014) - [i1]Stefano Ermon, Ronan Le Bras, Santosh K. Suram, John M. Gregoire, Carla P. Gomes, Bart Selman, Robert Bruce van Dover:
Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery. CoRR abs/1411.7441 (2014)
Coauthor Index
[j4] [c61] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i48] [i47] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5]
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