Ronan Le Bras

123 papers A* 26A 1B 2Journal 65Unranked 28
YearRankTypeTitle / Venue / Authors
2025 J jnl
Investigating machine moral judgement through the Delphi experiment.
Nat. Mac. Intell.
Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jenny T. Liang, Sydney Levine, Jesse Dodge, Keisuke Sakaguchi, Maxwell Forbes, Jack Hessel, Jonathan Borchardt, Taylor Sorensen, Saadia Gabriel, Yulia Tsvetkov, Oren Etzioni, Maarten Sap, Regina Rini, Yejin Choi
2025 J jnl
Multi-Attribute Constraint Satisfaction via Language Model Rewriting.
Trans. Mach. Learn. Res.
Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman, Ronan Le Bras, Ximing Lu, Nouha Dziri, Yejin Choi, Mark O. Riedl, Maarten Sap
2025 J jnl
Natural Language Planning via Coding and Inference Scaling.
CoRR
Rikhil Amonkar, Ronan Le Bras, Li Zhang
2025 J jnl
Olmo 3.
CoRR
Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, David Graham, David Heineman, Dirk Groeneveld, Faeze Brahman, Finbarr Timbers, Hamish Ivison, Jacob Morrison, Jake Poznanski, Kyle Lo, Luca Soldaini, Matt Jordan, Mayee F. Chen, Michael Noukhovitch, Nathan Lambert, Pete Walsh, Pradeep Dasigi, Robert Berry, Saumya Malik, Saurabh Shah, Scott Geng, Shane Arora, Shashank Gupta, Taira Anderson, Teng Xiao, Tyler Murray, Tyler Romero, Victoria Graf, Akari Asai, Akshita Bhagia, Alexander Wettig, Alisa Liu, Aman Rangapur, Chloe Anastasiades, Costa Huang, Dustin Schwenk, Harsh Trivedi, Ian Magnusson, Jaron Lochner, Jiacheng Liu, Lester James V. Miranda, Maarten Sap, Malia Morgan, Michael Schmitz, Michal Guerquin, Michael Wilson, Regan Huff, Ronan Le Bras, Rui Xin, Rulin Shao, Sam Skjonsberg, Shannon Zejiang Shen, Shuyue Stella Li, Tucker Wilde, Valentina Pyatkin, William Merrill, Yapei Chang, Yuling Gu, Zhiyuan Zeng, Ashish Sabharwal, Luke Zettlemoyer, Pang Wei Koh, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi
2025 J jnl
SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks.
CoRR
Yilun Zhao, Kaiyan Zhang, Tiansheng Hu, Sihong Wu, Ronan Le Bras, Taira Anderson, Jonathan Bragg, Joseph Chee Chang, Jesse Dodge, Matt Latzke, Yixin Liu, Charles McGrady, Xiangru Tang, Zihang Wang, Chen Zhao, Hannaneh Hajishirzi, Doug Downey, Arman Cohan
2025 A* conf
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild.
ICLR
Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi
2025 A* conf
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning.
ICML
Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi
2025 J jnl
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning.
CoRR
Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi
2024 — conf
A Call for Clarity in Beam Search: How It Works and When It Stops.
LREC/COLING
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir Radev, Yejin Choi, Noah A. Smith
2024 J jnl
HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions.
CoRR
Xuhui Zhou, Hyunwoo Kim, Faeze Brahman, Liwei Jiang, Hao Zhu, Ximing Lu, Frank Xu, Bill Yuchen Lin, Yejin Choi, Niloofar Mireshghallah, Ronan Le Bras, Maarten Sap
2024 A* conf
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models.
ICLR
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
2024 — conf
MacGyver: Are Large Language Models Creative Problem Solvers?
NAACL-HLT
Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman
2024 J jnl
Multi-Attribute Constraint Satisfaction via Language Model Rewriting.
CoRR
Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman, Ronan Le Bras, Ximing Lu, Nouha Dziri, Yejin Choi, Mark O. Riedl, Maarten Sap
2024 J jnl
SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs.
CoRR
Yuling Gu, Oyvind Tafjord, Hyunwoo Kim, Jared Moore, Ronan Le Bras, Peter Clark, Yejin Choi
2024 J jnl
TÜLU 3: Pushing Frontiers in Open Language Model Post-Training.
CoRR
Nathan Lambert, Jacob Morrison, Valentina Pyatkin, Shengyi Huang, Hamish Ivison, Faeze Brahman, Lester James V. Miranda, Alisa Liu, Nouha Dziri, Shane Lyu, Yuling Gu, Saumya Malik, Victoria Graf, Jena D. Hwang, Jiangjiang Yang, Ronan Le Bras, Oyvind Tafjord, Chris Wilhelm, Luca Soldaini, Noah A. Smith, Yizhong Wang, Pradeep Dasigi, Hannaneh Hajishirzi
2024 J jnl
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild.
CoRR
Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Faeze Brahman, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi
2024 J jnl
WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries.
CoRR
Wenting Zhao, Tanya Goyal, Yu Ying Chiu, Liwei Jiang, Benjamin Newman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Ronan Le Bras, Claire Cardie, Yuntian Deng, Yejin Choi
2023 — conf
Commonsense Knowledge Transfer for Pre-trained Language Models.
ACL (Findings)
Wangchunshu Zhou, Ronan Le Bras, Yejin Choi
2023 J jnl
Commonsense Knowledge Transfer for Pre-trained Language Models.
CoRR
Wangchunshu Zhou, Ronan Le Bras, Yejin Choi
2023 A* conf
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions.
EMNLP
Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap
2023 J jnl
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions.
CoRR
Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap
2023 A* conf
Faith and Fate: Limits of Transformers on Compositionality.
NeurIPS
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
2023 J jnl
Faith and Fate: Limits of Transformers on Compositionality.
CoRR
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
2023 — conf
From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models.
ACL (1)
Julia Mendelsohn, Ronan Le Bras, Yejin Choi, Maarten Sap
2023 J jnl
From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models.
CoRR
Julia Mendelsohn, Ronan Le Bras, Yejin Choi, Maarten Sap
2023 A* conf
Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning.
CVPR
Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi
2023 — conf
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.
ACL (1)
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
2023 J jnl
Improving Language Models with Advantage-based Offline Policy Gradients.
CoRR
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
2023 J jnl
MacGyver: Are Large Language Models Creative Problem Solvers?
CoRR
Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman
2023 — conf
Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference.
ACL (Findings)
Wangchunshu Zhou, Ronan Le Bras, Yejin Choi
2023 J jnl
Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference.
CoRR
Wangchunshu Zhou, Ronan Le Bras, Yejin Choi
2023 — conf
NLPositionality: Characterizing Design Biases of Datasets and Models.
ACL (1)
Sebastin Santy, Jenny T. Liang, Ronan Le Bras, Katharina Reinecke, Maarten Sap
2023 J jnl
NLPositionality: Characterizing Design Biases of Datasets and Models.
CoRR
Sebastin Santy, Jenny T. Liang, Ronan Le Bras, Katharina Reinecke, Maarten Sap
2023 — conf
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation.
EMNLP (Findings)
Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi
2023 J jnl
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation.
CoRR
Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Raghavi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi
2023 A* conf
RealTime QA: What's the Answer Right Now?
NeurIPS
Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui
2023 A* conf
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization.
EMNLP
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
2022 J jnl
Beam Decoding with Controlled Patience.
CoRR
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir R. Radev, Yejin Choi, Noah A. Smith
2022 — conf
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand.
NAACL-HLT
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith
2022 J jnl
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification.
CoRR
Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant
2022 — conf
Generated Knowledge Prompting for Commonsense Reasoning.
ACL (1)
Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi
2022 J jnl
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.
CoRR
Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi
2022 A* conf
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.
EMNLP
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
2022 J jnl
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.
CoRR
Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
2022 J jnl
Multimodal Knowledge Alignment with Reinforcement Learning.
CoRR
Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Prithviraj Ammanabrolu, Rowan Zellers, Ronan Le Bras, Gunhee Kim, Yejin Choi
2022 A* conf
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs.
EMNLP
Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi
2022 J jnl
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs.
CoRR
Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi
2022 — conf
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics.
NAACL-HLT
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
2022 J jnl
RealTime QA: What's the Answer Right Now?
CoRR
Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir R. Radev, Noah A. Smith, Yejin Choi, Kentaro Inui
2022 J jnl
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization.
CoRR
Hyunwoo Kim, Jack Hessel, Liwei Jiang, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi
2022 — conf
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models.
NAACL-HLT
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
2022 — conf
Transparent Human Evaluation for Image Captioning.
NAACL-HLT
Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith
2022 A* conf
Twist Decoding: Diverse Generators Guide Each Other.
EMNLP
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith
2022 J jnl
Twist Decoding: Diverse Generators Guide Each Other.
CoRR
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir R. Radev, Yejin Choi, Noah A. Smith
2021 A* conf
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs.
AAAI
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi
2021 — conf
Analyzing Commonsense Emergence in Few-shot Knowledge Models.
AKBC
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut
2021 J jnl
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand.
CoRR
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith
2021 — conf
CLIPScore: A Reference-free Evaluation Metric for Image Captioning.
EMNLP (1)
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi
2021 J jnl
CLIPScore: A Reference-free Evaluation Metric for Image Captioning.
CoRR
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi
2021 — conf
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification.
NeurIPS Datasets and Benchmarks
Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant
2021 J jnl
Delphi: Towards Machine Ethics and Norms.
CoRR
Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Maxwell Forbes, Jonathan Borchardt, Jenny T. Liang, Oren Etzioni, Maarten Sap, Yejin Choi
2021 A* conf
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering.
AAAI
Antoine Bosselut, Ronan Le Bras, Yejin Choi
2021 J jnl
Generated Knowledge Prompting for Commonsense Reasoning.
CoRR
Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi
2021 — conf
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences.
EMNLP (1)
Denis Emelin, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, Yejin Choi
2021 — conf
NaturalProofs: Mathematical Theorem Proving in Natural Language.
NeurIPS Datasets and Benchmarks
Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hanna Hajishirzi, Yejin Choi, Kyunghyun Cho
2021 J jnl
NaturalProofs: Mathematical Theorem Proving in Natural Language.
CoRR
Sean Welleck, Jiacheng Liu, Ronan Le Bras, Hannaneh Hajishirzi, Yejin Choi, Kyunghyun Cho
2021 J jnl
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics.
CoRR
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
2021 — conf
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints.
NAACL-HLT
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2021 A* conf
Paragraph-level Commonsense Transformers with Recurrent Memory.
AAAI
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi
2021 A* conf
SCRUPLES: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes.
AAAI
Nicholas Lourie, Ronan Le Bras, Yejin Choi
2021 J jnl
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models.
CoRR
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
2021 J jnl
Transparent Human Evaluation for Image Captioning.
CoRR
Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith
2021 A* conf
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark.
AAAI
Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2021 J jnl
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark.
CoRR
Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2021 J jnl
Understanding Few-Shot Commonsense Knowledge Models.
CoRR
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut
2021 J jnl
WinoGrande: an adversarial winograd schema challenge at scale.
Commun. ACM
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2021 J jnl
proScript: Partially Ordered Scripts Generation via Pre-trained Language Models.
CoRR
Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi
2021 — conf
proScript: Partially Ordered Scripts Generation.
EMNLP (Findings)
Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi
2020 A* conf
Abductive Commonsense Reasoning.
ICLR
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi
2020 A* conf
Adversarial Filters of Dataset Biases.
ICML
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
2020 J jnl
Adversarial Filters of Dataset Biases.
CoRR
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
2020 — conf
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning.
EMNLP (1)
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi
2020 J jnl
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning.
CoRR
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi
2020 J jnl
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs.
CoRR
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi
2020 J jnl
G-DAUG: Generative Data Augmentation for Commonsense Reasoning.
CoRR
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
2020 — conf
G-DAug: Generative Data Augmentation for Commonsense Reasoning.
EMNLP (Findings)
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
2020 J jnl
Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences.
CoRR
Denis Emelin, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, Yejin Choi
2020 — conf
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs.
EMNLP (Findings)
Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi
2020 J jnl
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs.
CoRR
Ana Marasovic, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi
2020 J jnl
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints.
CoRR
Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2020 A* conf
PIQA: Reasoning about Physical Commonsense in Natural Language.
AAAI
Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi
2020 J jnl
Paragraph-Level Commonsense Transformers with Recurrent Memory.
CoRR
Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi
2020 J jnl
Scruples: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes.
CoRR
Nicholas Lourie, Ronan Le Bras, Yejin Choi
2020 — conf
Thinking Like a Skeptic: Defeasible Inference in Natural Language.
EMNLP (Findings)
Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi
2020 — conf
Unsupervised Commonsense Question Answering with Self-Talk.
EMNLP (1)
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2020 J jnl
Unsupervised Commonsense Question Answering with Self-Talk.
CoRR
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2020 A* conf
WinoGrande: An Adversarial Winograd Schema Challenge at Scale.
AAAI
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2019 A* conf
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning.
AAAI
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi
2019 J jnl
Abductive Commonsense Reasoning.
CoRR
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi
2019 — conf
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning.
EMNLP/IJCNLP (1)
Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2019 J jnl
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning.
CoRR
Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2019 J jnl
PIQA: Reasoning about Physical Commonsense in Natural Language.
CoRR
Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi
2019 — conf
SemEval-2019 Task 10: Math Question Answering.
SemEval@NAACL-HLT
Mark Hopkins, Ronan Le Bras, Cristian Petrescu-Prahova, Gabriel Stanovsky, Hannaneh Hajishirzi, Rik Koncel-Kedziorski
2019 — conf
Social IQa: Commonsense Reasoning about Social Interactions.
EMNLP/IJCNLP (1)
Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi
2019 J jnl
SocialIQA: Commonsense Reasoning about Social Interactions.
CoRR
Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi
2019 J jnl
WINOGRANDE: An Adversarial Winograd Schema Challenge at Scale.
CoRR
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2018 J jnl
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning.
CoRR
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi
2018 J jnl
Phase Mapper: Accelerating Materials Discovery with AI.
AI Mag.
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
2017 A* conf
Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers.
EMNLP
Mark Hopkins, Cristian Petrescu-Prahova, Roie Levin, Ronan Le Bras, Alvaro Herrasti, Vidur Joshi
2017 B conf
In Search of Balance: The Challenge of Generating Balanced Latin Rectangles.
CPAIOR
Mateo Díaz, Ronan Le Bras, Carla P. Gomes
2017 A* conf
Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery.
AAAI
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
2016 — —
Leveraging Human Insights Into Problem Structure for Scientific Discovery.
Ronan Le Bras
2016 J jnl
Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery.
CoRR
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
2016 A* conf
Variable Elimination in the Fourier Domain.
ICML
Yexiang Xue, Stefano Ermon, Ronan Le Bras, Carla P. Gomes, Bart Selman
2015 J jnl
ClouDiA: a deployment advisor for public clouds.
VLDB J.
Tao Zou, Ronan Le Bras, Marcos Antonio Vaz Salles, Alan J. Demers, Johannes Gehrke
2015 A* conf
Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery.
AAAI
Stefano Ermon, Ronan Le Bras, Santosh K. Suram, John M. Gregoire, Carla P. Gomes, Bart Selman, Robert Bruce van Dover
2015 J jnl
Variable Elimination in Fourier Domain.
CoRR
Yexiang Xue, Stefano Ermon, Ronan Le Bras, Carla P. Gomes, Bart Selman
2014 B conf
A Human Computation Framework for Boosting Combinatorial Solvers.
HCOMP
Ronan Le Bras, Yexiang Xue, Richard Bernstein, Carla P. Gomes, Bart Selman
2014 A* conf
Challenges in Materials Discovery - Synthetic Generator and Real Datasets.
AAAI
Ronan Le Bras, Richard Bernstein, John M. Gregoire, Santosh K. Suram, Carla P. Gomes, Bart Selman, R. Bruce van Dover
2014 J jnl
On the Erdos Discrepancy Problem.
CoRR
Ronan Le Bras, Carla P. Gomes, Bart Selman
2014 A conf
On the Erdős Discrepancy Problem.
CP
Ronan Le Bras, Carla P. Gomes, Bart Selman
2014 J jnl
Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery.
CoRR
Stefano Ermon, Ronan Le Bras, Santosh K. Suram, John M. Gregoire, Carla P. Gomes, Bart Selman, Robert Bruce van Dover
2012 J jnl
ClouDiA: A Deployment Advisor for Public Clouds.
Proc. VLDB Endow.
Tao Zou, Ronan Le Bras, Marcos Antonio Vaz Salles, Alan J. Demers, Johannes Gehrke