Ronan Le Bras

Affiliations:
  • Allen Institute for AI, Seattle, WA, USA
  • Cornell University (former)


According to our database1, Ronan Le Bras authored at least 81 papers between 2009 and 2024.

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Bibliography

2024
SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs.
CoRR, 2024

HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions.
CoRR, 2024

WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries.
CoRR, 2024

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild.
CoRR, 2024

MacGyver: Are Large Language Models Creative Problem Solvers?
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Call for Clarity in Beam Search: How It Works and When It Stops.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

Improving Language Models with Advantage-based Offline Policy Gradients.
CoRR, 2023

RealTime QA: What's the Answer Right Now?
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.
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.
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fusing Pre-Trained Language Models with Multimodal Prompts through Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Commonsense Knowledge Transfer for Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

NLPositionality: Characterizing Design Biases of Datasets and Models.
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.
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.
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.
CoRR, 2022

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.
CoRR, 2022

Multimodal Knowledge Alignment with Reinforcement Learning.
CoRR, 2022

Beam Decoding with Controlled Patience.
CoRR, 2022

Symbolic Knowledge Distillation: from General Language Models to Commonsense Models.
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.
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.
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.
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Twist Decoding: Diverse Generators Guide Each Other.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generated Knowledge Prompting for Commonsense Reasoning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Delphi: Towards Machine Ethics and Norms.
CoRR, 2021

proScript: Partially Ordered Scripts Generation via Pre-trained Language Models.
CoRR, 2021

Understanding Few-Shot Commonsense Knowledge Models.
CoRR, 2021

WinoGrande: an adversarial winograd schema challenge at scale.
Commun. ACM, 2021

NaturalProofs: Mathematical Theorem Proving in Natural Language.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

CommonsenseQA 2.0: Exposing the Limits of AI through Gamification.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

CLIPScore: A Reference-free Evaluation Metric for Image Captioning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Analyzing Commonsense Emergence in Few-shot Knowledge Models.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

SCRUPLES: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Paragraph-level Commonsense Transformers with Recurrent Memory.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Adversarial Filters of Dataset Biases.
Proceedings of the 37th International Conference on Machine Learning, 2020

Abductive Commonsense Reasoning.
Proceedings of the 8th International Conference on Learning Representations, 2020

G-DAug: Generative Data Augmentation for Commonsense Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Unsupervised Commonsense Question Answering with Self-Talk.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Thinking Like a Skeptic: Defeasible Inference in Natural Language.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

PIQA: Reasoning about Physical Commonsense in Natural Language.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
SocialIQA: Commonsense Reasoning about Social Interactions.
CoRR, 2019

SemEval-2019 Task 10: Math Question Answering.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Social IQa: Commonsense Reasoning about Social Interactions.
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.
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.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Phase Mapper: Accelerating Materials Discovery with AI.
AI Mag., 2018

2017
Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

In Search of Balance: The Challenge of Generating Balanced Latin Rectangles.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2017

Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Leveraging Human Insights Into Problem Structure for Scientific Discovery.
PhD thesis, 2016

Variable Elimination in the Fourier Domain.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A Human Computation Framework for Boosting Combinatorial Solvers.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

On the Erdős Discrepancy Problem.
Proceedings of the Principles and Practice of Constraint Programming, 2014

Challenges in Materials Discovery - Synthetic Generator and Real Datasets.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Solutions for Hard and Soft Constraints Using Optimized Probabilistic Satisfiability.
Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2013, 2013

Double-Wheel Graphs Are Graceful.
Proceedings of the IJCAI 2013, 2013

Crowdsourcing Backdoor Identification for Combinatorial Optimization.
Proceedings of the IJCAI 2013, 2013

Large Landscape Conservation - Synthetic and Real-World Datasets.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Robust Network Design For Multispecies Conservation.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
ClouDiA: A Deployment Advisor for Public Clouds.
Proc. VLDB Endow., 2012

SMT-Aided Combinatorial Materials Discovery.
Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2012, 2012

From Streamlined Combinatorial Search to Efficient Constructive Procedures.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Constraint Reasoning and Kernel Clustering for Pattern Decomposition with Scaling.
Proceedings of the Principles and Practice of Constraint Programming - CP 2011, 2011

2009
Efficient Generic Search Heuristics within the EMBP Framework.
Proceedings of the Principles and Practice of Constraint Programming, 2009


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