Efficient Generic Search Heuristics within the EMBP Framework. - Ronan LeBras; Alessandro Zanarini; Gilles Pesant (CP, 2009)

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 (CP, 2011)

From Streamlined Combinatorial Search to Efficient Constructive Procedures. - Ronan LeBras; Carla P. Gomes; Bart Selman (AAAI, 2012)

SMT-Aided Combinatorial Materials Discovery. - Stefano Ermon; Ronan LeBras; Carla P. Gomes; Bart Selman; R. Bruce van Dover (SAT, 2012)

ClouDiA: A Deployment Advisor for Public Clouds. - Tao Zou 002; Ronan Le Bras 001; Marcos Antonio Vaz Salles; Alan J. Demers; Johannes Gehrke (Proc. VLDB Endow., 2012)

Robust Network Design For Multispecies Conservation. - Ronan LeBras; Bistra Dilkina; Yexiang Xue; Carla P. Gomes; Kevin S. McKelvey; Michael K. Schwartz; Claire A. Montgomery (AAAI, 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 (AAAI, 2013)

Crowdsourcing Backdoor Identification for Combinatorial Optimization. - Ronan LeBras; Richard Bernstein; Carla P. Gomes; Bart Selman; R. Bruce van Dover (IJCAI, 2013)

Double-Wheel Graphs Are Graceful. - Ronan LeBras; Carla P. Gomes; Bart Selman (IJCAI, 2013)

Solutions for Hard and Soft Constraints Using Optimized Probabilistic Satisfiability. - Marcelo Finger; Ronan LeBras; Carla P. Gomes; Bart Selman (SAT, 2013)

Challenges in Materials Discovery - Synthetic Generator and Real Datasets. - Ronan Le Bras 001; Richard Bernstein; John M. Gregoire; Santosh K. Suram; Carla P. Gomes; Bart Selman; R. Bruce van Dover (AAAI, 2014)

On the Erdős Discrepancy Problem. - Ronan Le Bras 001; Carla P. Gomes; Bart Selman (CP, 2014)

A Human Computation Framework for Boosting Combinatorial Solvers. - Ronan Le Bras 001; Yexiang Xue; Richard Bernstein; Carla P. Gomes; Bart Selman (HCOMP, 2014)

Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery. - Stefano Ermon; Ronan Le Bras 001; Santosh K. Suram; John M. Gregoire; Carla P. Gomes; Bart Selman; Robert Bruce van Dover (AAAI, 2015)

Variable Elimination in the Fourier Domain. - Yexiang Xue; Stefano Ermon; Ronan Le Bras 001; Carla P. Gomes; Bart Selman (ICML, 2016)

Leveraging Human Insights Into Problem Structure for Scientific Discovery. - Ronan Le Bras 001 (2016)

Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. - Yexiang Xue; Junwen Bai; Ronan Le Bras 001; Brendan Rappazzo; Richard Bernstein; Johan Bjorck; Liane Longpre; Santosh K. Suram; Robert Bruce van Dover; John M. Gregoire; Carla P. Gomes (AAAI, 2017)

In Search of Balance: The Challenge of Generating Balanced Latin Rectangles. - Mateo Díaz; Ronan Le Bras 001; Carla P. Gomes (CPAIOR, 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 001; Alvaro Herrasti; Vidur Joshi (EMNLP, 2017)

Phase Mapper: Accelerating Materials Discovery with AI. - Junwen Bai; Yexiang Xue; Johan Bjorck; Ronan Le Bras 001; Brendan Rappazzo; Richard Bernstein; Santosh K. Suram; Robert Bruce van Dover; John M. Gregoire; Carla P. Gomes (AI Mag., 2018)

ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. - Maarten Sap; Ronan Le Bras 001; Emily Allaway; Chandra Bhagavatula; Nicholas Lourie; Hannah Rashkin; Brendan Roof; Noah A. Smith; Yejin Choi 001 (AAAI, 2019)

Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. - Lifu Huang; Ronan Le Bras 001; Chandra Bhagavatula; Yejin Choi 001 (EMNLP/IJCNLP (1), 2019)

Social IQa: Commonsense Reasoning about Social Interactions. - Maarten Sap; Hannah Rashkin; Derek Chen; Ronan Le Bras 001; Yejin Choi 001 (EMNLP/IJCNLP (1), 2019)

SemEval-2019 Task 10: Math Question Answering. - Mark Hopkins; Ronan Le Bras 001; Cristian Petrescu-Prahova; Gabriel Stanovsky; Hannaneh Hajishirzi; Rik Koncel-Kedziorski (SemEval@NAACL-HLT, 2019)

SocialIQA: Commonsense Reasoning about Social Interactions. - Maarten Sap; Hannah Rashkin; Derek Chen; Ronan Le Bras 001; Yejin Choi 001 (CoRR, 2019)

PIQA: Reasoning about Physical Commonsense in Natural Language. - Yonatan Bisk; Rowan Zellers; Ronan Le Bras 001; Jianfeng Gao 001; Yejin Choi 001 (AAAI, 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 001; Noah A. Smith; Yejin Choi 001 (EMNLP (Findings), 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 001; Antoine Bosselut; Yejin Choi 001 (EMNLP (1), 2020)

Thinking Like a Skeptic: Defeasible Inference in Natural Language. - Rachel Rudinger; Vered Shwartz; Jena D. Hwang; Chandra Bhagavatula; Maxwell Forbes; Ronan Le Bras 001; Noah A. Smith; Yejin Choi 001 (EMNLP (Findings), 2020)

Unsupervised Commonsense Question Answering with Self-Talk. - Vered Shwartz; Peter West; Ronan Le Bras 001; Chandra Bhagavatula; Yejin Choi 001 (EMNLP (1), 2020)

G-DAug: Generative Data Augmentation for Commonsense Reasoning. - Yiben Yang; Chaitanya Malaviya; Jared Fernandez; Swabha Swayamdipta; Ronan Le Bras 001; Ji-Ping Wang; Chandra Bhagavatula; Yejin Choi 001; Doug Downey (EMNLP (Findings), 2020)

Abductive Commonsense Reasoning. - Chandra Bhagavatula; Ronan Le Bras 001; Chaitanya Malaviya; Keisuke Sakaguchi; Ari Holtzman; Hannah Rashkin; Doug Downey; Wen-tau Yih; Yejin Choi 001 (ICLR, 2020)

Adversarial Filters of Dataset Biases. - Ronan Le Bras 001; Swabha Swayamdipta; Chandra Bhagavatula; Rowan Zellers; Matthew E. Peters; Ashish Sabharwal; Yejin Choi 001 (ICML, 2020)

Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. - Antoine Bosselut; Ronan Le Bras 001; Yejin Choi 001 (AAAI, 2021)

Paragraph-level Commonsense Transformers with Recurrent Memory. - Saadia Gabriel; Chandra Bhagavatula; Vered Shwartz; Ronan Le Bras 001; Maxwell Forbes; Yejin Choi 001 (AAAI, 2021)

(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. - Jena D. Hwang; Chandra Bhagavatula; Ronan Le Bras 001; Jeff Da; Keisuke Sakaguchi; Antoine Bosselut; Yejin Choi 001 (AAAI, 2021)

UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. - Nicholas Lourie; Ronan Le Bras 001; Chandra Bhagavatula; Yejin Choi 001 (AAAI, 2021)

SCRUPLES: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes. - Nicholas Lourie; Ronan Le Bras 001; Yejin Choi 001 (AAAI, 2021)

Analyzing Commonsense Emergence in Few-shot Knowledge Models. - Jeff Da; Ronan Le Bras 001; Ximing Lu; Yejin Choi 001; Antoine Bosselut (AKBC, 2021)

Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences. - Denis Emelin; Ronan Le Bras 001; Jena D. Hwang; Maxwell Forbes; Yejin Choi 001 (EMNLP (1), 2021)

CLIPScore: A Reference-free Evaluation Metric for Image Captioning. - Jack Hessel; Ari Holtzman; Maxwell Forbes; Ronan Le Bras 001; Yejin Choi 001 (EMNLP (1), 2021)

proScript: Partially Ordered Scripts Generation. - Keisuke Sakaguchi; Chandra Bhagavatula; Ronan Le Bras 001; Niket Tandon; Peter Clark; Yejin Choi 001 (EMNLP (Findings), 2021)

NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. - Ximing Lu; Peter West; Rowan Zellers; Ronan Le Bras 001; Chandra Bhagavatula; Yejin Choi 001 (NAACL-HLT, 2021)

CommonsenseQA 2.0: Exposing the Limits of AI through Gamification. - Alon Talmor; Ori Yoran; Ronan Le Bras 001; Chandra Bhagavatula; Yoav Goldberg; Yejin Choi 001; Jonathan Berant (NeurIPS Datasets and Benchmarks, 2021)

NaturalProofs: Mathematical Theorem Proving in Natural Language. - Sean Welleck; Jiacheng Liu 010; Ronan Le Bras 001; Hanna Hajishirzi; Yejin Choi 001; Kyunghyun Cho (NeurIPS Datasets and Benchmarks, 2021)

WinoGrande: an adversarial winograd schema challenge at scale. - Keisuke Sakaguchi; Ronan Le Bras 001; Chandra Bhagavatula; Yejin Choi 001 (Commun. ACM, 2021)

Understanding Few-Shot Commonsense Knowledge Models. - Jeff Da; Ronan Le Bras 001; Ximing Lu; Yejin Choi 001; Antoine Bosselut (CoRR, 2021)

proScript: Partially Ordered Scripts Generation via Pre-trained Language Models. - Keisuke Sakaguchi; Chandra Bhagavatula; Ronan Le Bras 001; Niket Tandon; Peter Clark; Yejin Choi 001 (CoRR, 2021)

Delphi: Towards Machine Ethics and Norms. - Liwei Jiang; Jena D. Hwang; Chandra Bhagavatula; Ronan Le Bras 001; Maxwell Forbes; Jonathan Borchardt; Jenny T. Liang; Oren Etzioni; Maarten Sap; Yejin Choi 001 (CoRR, 2021)

Generated Knowledge Prompting for Commonsense Reasoning. - Jiacheng Liu 010; Alisa Liu; Ximing Lu; Sean Welleck; Peter West; Ronan Le Bras 001; Yejin Choi 001; Hannaneh Hajishirzi (ACL (1), 2022)

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. - Jaehun Jung; Lianhui Qin; Sean Welleck; Faeze Brahman; Chandra Bhagavatula; Ronan Le Bras 001; Yejin Choi 001 (EMNLP, 2022)

Twist Decoding: Diverse Generators Guide Each Other. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Hao Peng 009; Ximing Lu; Dragomir Radev; Yejin Choi 001; Noah A. Smith (EMNLP, 2022)

Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. - Maarten Sap; Ronan Le Bras 001; Daniel Fried; Yejin Choi 001 (EMNLP, 2022)

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Lavinia Dunagan; Jacob Morrison; Alexander R. Fabbri; Yejin Choi 001; Noah A. Smith (NAACL-HLT, 2022)

Transparent Human Evaluation for Image Captioning. - Jungo Kasai; Keisuke Sakaguchi; Lavinia Dunagan; Jacob Morrison; Ronan Le Bras 001; Yejin Choi 001; Noah A. Smith (NAACL-HLT, 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 001; Lianhui Qin; Youngjae Yu; Rowan Zellers; Noah A. Smith; Yejin Choi 001 (NAACL-HLT, 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 001; Ximing Lu; Sean Welleck; Yejin Choi 001 (NAACL-HLT, 2022)

Beam Decoding with Controlled Patience. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Dragomir R. Radev; Yejin Choi 001; Noah A. Smith (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 001; Gunhee Kim; Yejin Choi 001 (CoRR, 2022)

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. - Chandra Bhagavatula; Jena D. Hwang; Doug Downey; Ronan Le Bras 001; Ximing Lu; Keisuke Sakaguchi; Swabha Swayamdipta; Peter West; Yejin Choi 001 (CoRR, 2022)

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. - Hyunwoo Kim 002; Jack Hessel; Liwei Jiang; Ximing Lu; Youngjae Yu; Pei Zhou; Ronan Le Bras 001; Malihe Alikhani; Gunhee Kim; Maarten Sap; Yejin Choi 001 (CoRR, 2022)

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. - Chandra Bhagavatula; Jena D. Hwang; Doug Downey; Ronan Le Bras 001; Ximing Lu; Lianhui Qin; Keisuke Sakaguchi; Swabha Swayamdipta; Peter West; Yejin Choi 001 (ACL (1), 2023)

From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models. - Julia Mendelsohn; Ronan Le Bras 001; Yejin Choi 001; Maarten Sap (ACL (1), 2023)

NLPositionality: Characterizing Design Biases of Datasets and Models. - Sebastin Santy; Jenny T. Liang; Ronan Le Bras 001; Katharina Reinecke; Maarten Sap (ACL (1), 2023)

Commonsense Knowledge Transfer for Pre-trained Language Models. - Wangchunshu Zhou; Ronan Le Bras 001; Yejin Choi 001 (ACL (Findings), 2023)

Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference. - Wangchunshu Zhou; Ronan Le Bras 001; Yejin Choi 001 (ACL (Findings), 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 001; Gunhee Kim; Yejin Choi 001 (CVPR, 2023)

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. - Hyunwoo Kim 002; Jack Hessel; Liwei Jiang; Peter West; Ximing Lu; Youngjae Yu; Pei Zhou; Ronan Le Bras 001; Malihe Alikhani; Gunhee Kim; Maarten Sap; Yejin Choi 001 (EMNLP, 2023)

FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions. - Hyunwoo Kim 002; Melanie Sclar; Xuhui Zhou; Ronan Le Bras 001; Gunhee Kim; Yejin Choi 001; Maarten Sap (EMNLP, 2023)

NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation. - Peter West; Ronan Le Bras 001; Taylor Sorensen; Bill Yuchen Lin; Liwei Jiang; Ximing Lu; Khyathi Raghavi Chandu; Jack Hessel; Ashutosh Baheti; Chandra Bhagavatula; Yejin Choi 001 (EMNLP (Findings), 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 001; Jena D. Hwang; Soumya Sanyal 001; et al. (NeurIPS, 2023)

RealTime QA: What's the Answer Right Now? - Jungo Kasai; Keisuke Sakaguchi; Yoichi Takahashi; Ronan Le Bras 001; Akari Asai; Xinyan Yu 001; Dragomir Radev; Noah A. Smith; Yejin Choi 001; Kentaro Inui (NeurIPS, 2023)

Improving Language Models with Advantage-based Offline Policy Gradients. - Ashutosh Baheti; Ximing Lu; Faeze Brahman; Ronan Le Bras 001; Maarten Sap; Mark O. Riedl (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

A Call for Clarity in Beam Search: How It Works and When It Stops. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Dragomir Radev; Yejin Choi 001; Noah A. Smith (LREC/COLING, 2024)

Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models. - Ashutosh Baheti; Ximing Lu; Faeze Brahman; Ronan Le Bras 001; Maarten Sap; Mark O. Riedl (ICLR, 2024)

MacGyver: Are Large Language Models Creative Problem Solvers? - Yufei Tian; Abhilasha Ravichander; Lianhui Qin; Ronan Le Bras 001; Raja Marjieh; Nanyun Peng 001; Yejin Choi 001; Thomas L. Griffiths 001; Faeze Brahman (NAACL-HLT, 2024)

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. - Bill Yuchen Lin; Yuntian Deng; Khyathi Raghavi Chandu; Faeze Brahman; Abhilasha Ravichander; Valentina Pyatkin; Nouha Dziri; Ronan Le Bras 001; Yejin Choi 001 (CoRR, 2024)

WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries. - Wenting Zhao; Tanya Goyal; Yu Ying Chiu; Liwei Jiang; Benjamin Newman; Abhilasha Ravichander; Khyathi Raghavi Chandu; Ronan Le Bras 001; Claire Cardie; Yuntian Deng; Yejin Choi 001 (CoRR, 2024)

HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions. - Xuhui Zhou; Hyunwoo Kim 002; Faeze Brahman; Liwei Jiang; Hao Zhu 011; Ximing Lu; Frank Xu; Bill Yuchen Lin; Yejin Choi 001; Niloofar Mireshghallah; Ronan Le Bras 001; Maarten Sap (CoRR, 2024)

SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs. - Yuling Gu; Oyvind Tafjord; Hyunwoo Kim 002; Jared Moore; Ronan Le Bras 001; Peter Clark; Yejin Choi 001 (CoRR, 2024)

TÜLU 3: Pushing Frontiers in Open Language Model Post-Training. - Nathan Lambert 001; Jacob Morrison; Valentina Pyatkin; Shengyi Huang; Hamish Ivison; Faeze Brahman; Lester James V. Miranda; Alisa Liu; Nouha Dziri; Shane Lyu; Yuling Gu; Saumya Malik; et al. (CoRR, 2024)

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. - Bill Yuchen Lin; Yuntian Deng; Khyathi Raghavi Chandu; Abhilasha Ravichander; Valentina Pyatkin; Nouha Dziri; Ronan Le Bras 001; Yejin Choi 001 (ICLR, 2025)

Investigating machine moral judgement through the Delphi experiment. - Liwei Jiang; Jena D. Hwang; Chandra Bhagavatula; Ronan Le Bras 001; Jenny T. Liang; Sydney Levine; Jesse Dodge; Keisuke Sakaguchi; Maxwell Forbes; Jack Hessel; Jonathan Borchardt; Taylor Sorensen; et al. (Nat. Mac. Intell., 2025)

Multi-Attribute Constraint Satisfaction via Language Model Rewriting. - Ashutosh Baheti; Debanjana Chakraborty; Faeze Brahman; Ronan Le Bras 001; Ximing Lu; Nouha Dziri; Yejin Choi 001; Mark O. Riedl; Maarten Sap (Trans. Mach. Learn. Res., 2025)

ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning. - Bill Yuchen Lin; Ronan Le Bras 001; Kyle Richardson 001; Ashish Sabharwal; Radha Poovendran; Peter Clark; Yejin Choi 001 (CoRR, 2025)

Natural Language Planning via Coding and Inference Scaling. - Rikhil Amonkar; Ronan Le Bras 001; Li Zhang 039 (CoRR, 2025)

SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Tasks. - Yilun Zhao 001; Kaiyan Zhang; Tiansheng Hu; Sihong Wu; Ronan Le Bras 001; Taira Anderson; Jonathan Bragg; Joseph Chee Chang; Jesse Dodge; Matt Latzke; Yixin Liu 003; Charles McGrady; et al. (CoRR, 2025)