Ronan Le Bras

According to our database, Ronan Le Bras authored at least 75 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

MacGyver: Are Large Language Models Creative Problem Solvers?

Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman

CoRR, 2023

Faith and Fate: Limits of Transformers on Compositionality.

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

CoRR, 2023

Improving Language Models with Advantage-based Offline Policy Gradients.

Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl

CoRR, 2023

RealTime QA: What's the Answer Right Now?

Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Faith and Fate: Limits of Transformers on Compositionality.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation.

Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions.

Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization.

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning.

Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference.

Wangchunshu Zhou, Ronan Le Bras, Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Commonsense Knowledge Transfer for Pre-trained Language Models.

Wangchunshu Zhou, Ronan Le Bras, Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

NLPositionality: Characterizing Design Biases of Datasets and Models.

Sebastin Santy, Jenny T. Liang, Ronan Le Bras, Katharina Reinecke, Maarten Sap

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models.

Julia Mendelsohn, Ronan Le Bras, Yejin Choi, Maarten Sap

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.

Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization.

Hyunwoo Kim, Jack Hessel, Liwei Jiang, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi

CoRR, 2022

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.

Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi

CoRR, 2022

Multimodal Knowledge Alignment with Reinforcement Learning.

Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi

CoRR, 2022

Beam Decoding with Controlled Patience.

Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir R. Radev, Yejin Choi, Noah A. Smith

CoRR, 2022

Symbolic Knowledge Distillation: from General Language Models to Commonsense Models.

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics.

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Transparent Human Evaluation for Image Captioning.

Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand.

Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs.

Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Twist Decoding: Diverse Generators Guide Each Other.

Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.

Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generated Knowledge Prompting for Commonsense Reasoning.

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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Delphi: Towards Machine Ethics and Norms.

Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Maxwell Forbes, Jonathan Borchardt, Jenny T. Liang, Oren Etzioni, Maarten Sap, Yejin Choi

CoRR, 2021

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

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

CoRR, 2021

Understanding Few-Shot Commonsense Knowledge Models.

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

CoRR, 2021

WinoGrande: an adversarial winograd schema challenge at scale.

Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Commun. ACM, 2021

NaturalProofs: Mathematical Theorem Proving in Natural Language.

Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hanna Hajishirzi, Yejin Choi, Kyunghyun Cho

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

CommonsenseQA 2.0: Exposing the Limits of AI through Gamification.

Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

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

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

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

proScript: Partially Ordered Scripts Generation.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

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

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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Analyzing Commonsense Emergence in Few-shot Knowledge Models.

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

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

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

Nicholas Lourie, Ronan Le Bras, Yejin Choi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Paragraph-level Commonsense Transformers with Recurrent Memory.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering.

Antoine Bosselut, Ronan Le Bras, Yejin Choi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Adversarial Filters of Dataset Biases.

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

Proceedings of the 37th International Conference on Machine Learning, 2020

Abductive Commonsense Reasoning.

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

Proceedings of the 8th International Conference on Learning Representations, 2020

G-DAug: Generative Data Augmentation for Commonsense Reasoning.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Unsupervised Commonsense Question Answering with Self-Talk.

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Thinking Like a Skeptic: Defeasible Inference in Natural Language.

Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

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

Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

PIQA: Reasoning about Physical Commonsense in Natural Language.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

SocialIQA: Commonsense Reasoning about Social Interactions.

Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi

CoRR, 2019

SemEval-2019 Task 10: Math Question Answering.

Mark Hopkins, Ronan Le Bras, Cristian Petrescu-Prahova, Gabriel Stanovsky, Hannaneh Hajishirzi, Rik Koncel-Kedziorski

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Social IQa: Commonsense Reasoning about Social Interactions.

Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning.

Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning.

Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Phase Mapper: Accelerating Materials Discovery with AI.

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

AI Mag., 2018

2017

Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers.

Mark Hopkins, Cristian Petrescu-Prahova, Roie Levin, Ronan Le Bras, Alvaro Herrasti, Vidur Joshi

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

In Search of Balance: The Challenge of Generating Balanced Latin Rectangles.

Mateo Díaz, Ronan Le Bras, Carla P. Gomes

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2017

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

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

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Leveraging Human Insights Into Problem Structure for Scientific Discovery.

Ronan Le Bras

PhD thesis, 2016

Variable Elimination in the Fourier Domain.

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

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery.

Stefano Ermon, Ronan Le Bras, Santosh K. Suram, John M. Gregoire, Carla P. Gomes, Bart Selman, Robert Bruce van Dover

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

A Human Computation Framework for Boosting Combinatorial Solvers.

Ronan Le Bras, Yexiang Xue, Richard Bernstein, Carla P. Gomes, Bart Selman

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

On the Erdős Discrepancy Problem.

Ronan Le Bras, Carla P. Gomes, Bart Selman

Proceedings of the Principles and Practice of Constraint Programming, 2014

Challenges in Materials Discovery - Synthetic Generator and Real Datasets.

Ronan Le Bras, Richard Bernstein, John M. Gregoire, Santosh K. Suram, Carla P. Gomes, Bart Selman, R. Bruce van Dover

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Solutions for Hard and Soft Constraints Using Optimized Probabilistic Satisfiability.

Marcelo Finger, Ronan LeBras, Carla P. Gomes, Bart Selman

Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2013, 2013

Double-Wheel Graphs Are Graceful.

Ronan LeBras, Carla P. Gomes, Bart Selman

Proceedings of the IJCAI 2013, 2013

Crowdsourcing Backdoor Identification for Combinatorial Optimization.

Ronan LeBras, Richard Bernstein, Carla P. Gomes, Bart Selman, R. Bruce van Dover

Proceedings of the IJCAI 2013, 2013

Large Landscape Conservation - Synthetic and Real-World Datasets.

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

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Robust Network Design For Multispecies Conservation.

Ronan LeBras, Bistra Dilkina, Yexiang Xue, Carla P. Gomes, Kevin S. McKelvey, Michael K. Schwartz, Claire A. Montgomery

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

ClouDiA: A Deployment Advisor for Public Clouds.

Tao Zou, Ronan Le Bras, Marcos Antonio Vaz Salles, Alan J. Demers, Johannes Gehrke

Proc. VLDB Endow., 2012

SMT-Aided Combinatorial Materials Discovery.

Stefano Ermon, Ronan LeBras, Carla P. Gomes, Bart Selman, R. Bruce van Dover

Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2012, 2012

From Streamlined Combinatorial Search to Efficient Constructive Procedures.

Ronan LeBras, Carla P. Gomes, Bart Selman

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Constraint Reasoning and Kernel Clustering for Pattern Decomposition with Scaling.

Ronan LeBras, Theodoros Damoulas, John M. Gregoire, Ashish Sabharwal, Carla P. Gomes, R. Bruce van Dover

Proceedings of the Principles and Practice of Constraint Programming - CP 2011, 2011

2009

Efficient Generic Search Heuristics within the EMBP Framework.

Ronan LeBras, Alessandro Zanarini, Gilles Pesant

Proceedings of the Principles and Practice of Constraint Programming, 2009