Ronan Le Bras

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 29

Top Topics

Symbolic Knowledge

Social Intelligence

Top Venues

Publications

Bill Yuchen Lin, Yuntian Deng, Khyathi Raghavi Chandu, Faeze Brahman, Abhilasha Ravichander, Valentina Pyatkin, Nouha Dziri, Ronan Le Bras, Yejin Choi
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. CoRR (2024)
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? NAACL-HLT (2024)
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models. ICLR (2024)
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
WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries. CoRR (2024)
Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir Radev, Yejin Choi, Noah A. Smith
A Call for Clarity in Beam Search: How It Works and When It Stops. LREC/COLING (2024)
Sebastin Santy, Jenny T. Liang, Ronan Le Bras, Katharina Reinecke, Maarten Sap
NLPositionality: Characterizing Design Biases of Datasets and Models. ACL (1) (2023)
Julia Mendelsohn, Ronan Le Bras, Yejin Choi, Maarten Sap
From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models. CoRR (2023)
Wangchunshu Zhou, Ronan Le Bras, Yejin Choi
Commonsense Knowledge Transfer for Pre-trained Language Models. CoRR (2023)
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)
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)
Wangchunshu Zhou, Ronan Le Bras, Yejin Choi
Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference. ACL (Findings) (2023)
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)
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)
Wangchunshu Zhou, Ronan Le Bras, Yejin Choi
Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference. CoRR (2023)
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 (2023)
Wangchunshu Zhou, Ronan Le Bras, Yejin Choi
Commonsense Knowledge Transfer for Pre-trained Language Models. ACL (Findings) (2023)
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
Improving Language Models with Advantage-based Offline Policy Gradients. CoRR (2023)
Julia Mendelsohn, Ronan Le Bras, Yejin Choi, Maarten Sap
From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models. ACL (1) (2023)
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 (2023)
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)
Sebastin Santy, Jenny T. Liang, Ronan Le Bras, Katharina Reinecke, Maarten Sap
NLPositionality: Characterizing Design Biases of Datasets and Models. CoRR (2023)
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 (2023)
Peter West, Ronan Le Bras, Taylor Sorensen, Bill 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)
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 (2023)
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 (2022)
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)
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)
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 (2022)
Maarten Sap, Ronan Le Bras, Daniel Fried, Yejin Choi
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs. EMNLP (2022)