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Ronan Le Bras

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

52

Venues

12

Active years

2014–2025

Best venue rank

A*

Where they publish

Papers

52 indexed papers, newest first.

YearVenueTitleAuthors
2025ICLRWildBench: 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, Yejin Choi
2025ICMLZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning.Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi
2024COLINGA Call for Clarity in Beam Search: How It Works and When It Stops.Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir Radev, Yejin Choi, Noah A. Smith
2024ICLRLeftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models.Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
2024NAACLMacGyver: 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
2023ACLI2D2: 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
2023ACLFrom Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models.Julia Mendelsohn, Ronan Le Bras, Yejin Choi, Maarten Sap
2023ACLNLPositionality: Characterizing Design Biases of Datasets and Models.Sebastin Santy, Jenny T. Liang, Ronan Le Bras, Katharina Reinecke, Maarten Sap
2023ACLCommonsense Knowledge Transfer for Pre-trained Language Models.Wangchunshu Zhou, Ronan Le Bras, Yejin Choi
2023ACLModular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference.Wangchunshu Zhou, Ronan Le Bras, Yejin Choi
2023CVPRFusing 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
2023EMNLPSODA: 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
2023EMNLPFANToM: 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
2023EMNLPNovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation.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
2022ACLGenerated Knowledge Prompting for Commonsense Reasoning.Jiacheng Liu, Alisa Liu, Ximing Lu, Sean Welleck, Peter West, Ronan Le Bras, Yejin Choi, Hannaneh Hajishirzi
2022EMNLPMaieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi
2022EMNLPTwist Decoding: Diverse Generators Guide Each Other.Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith
2022EMNLPNeural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs.Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi
2022NAACLBidimensional 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
2022NAACLTransparent Human Evaluation for Image Captioning.Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith
2022NAACLNeuroLogic 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
2022NAACLSymbolic 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
2021AAAIDynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering.Antoine Bosselut, Ronan Le Bras, Yejin Choi
2021AAAIParagraph-level Commonsense Transformers with Recurrent Memory.Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi
2021AAAI(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
2021AAAIUNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark.Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2021AAAISCRUPLES: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes.Nicholas Lourie, Ronan Le Bras, Yejin Choi
2021EMNLPMoral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences.Denis Emelin, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, Yejin Choi
2021EMNLPCLIPScore: A Reference-free Evaluation Metric for Image Captioning.Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, Yejin Choi
2021EMNLPproScript: Partially Ordered Scripts Generation.Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi
2021NAACLNeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints.Ximing Lu, Peter West, Rowan Zellers, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2020AAAIPIQA: Reasoning about Physical Commonsense in Natural Language.Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi
2020AAAIWinoGrande: An Adversarial Winograd Schema Challenge at Scale.Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2020EMNLPNatural 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
2020EMNLPBack 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
2020EMNLPThinking 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
2020EMNLPUnsupervised Commonsense Question Answering with Self-Talk.Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2020EMNLPG-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
2020ICLRAbductive Commonsense Reasoning.Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi
2020ICMLAdversarial Filters of Dataset Biases.Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
2019AAAIATOMIC: 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
2019EMNLPCosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning.Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi
2019EMNLPSocial IQa: Commonsense Reasoning about Social Interactions.Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi
2019SCAcceleration in Acoustic Wave Propagation Modelling Using OpenACC/OpenMP and Its Hybrid for the Global Monitoring System.Noriyuki Kushida, Ying-Tsong Lin, Peter Nielsen, Ronan Le Bras
2017AAAIPhase-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
2017CPAIORIn Search of Balance: The Challenge of Generating Balanced Latin Rectangles.Mateo Daz, Ronan Le Bras, Carla P. Gomes
2017EMNLPBeyond 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
2016ICMLVariable Elimination in the Fourier Domain.Yexiang Xue, Stefano Ermon, Ronan Le Bras, Carla P. Gomes, Bart Selman
2015AAAIPattern 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
2014AAAIChallenges 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
2014CPOn the Erdős Discrepancy Problem.Ronan Le Bras, Carla P. Gomes, Bart Selman
2014HCOMPA Human Computation Framework for Boosting Combinatorial Solvers.Ronan Le Bras, Yexiang Xue, Richard Bernstein, Carla P. Gomes, Bart Selman