2025
Intentionally Unintentional: GenAI Exceptionalism and the First Amendment.
CoRR, June, 2025
Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences.
CoRR, June, 2025
DataDecide: How to Predict Best Pretraining Data with Small Experiments.
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CoRR, April, 2025
Ai2 Scholar QA: Organized Literature Synthesis with Attribution.
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CoRR, April, 2025
Investigating machine moral judgement through the Delphi experiment.
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Nat. Mac. Intell., 2025
REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
2024
TÜLU 3: Pushing Frontiers in Open Language Model Post-Training.
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CoRR, 2024
Diverging Preferences: When do Annotators Disagree and do Models Know?
CoRR, 2024
Exceptions, Instantiations, and Overgeneralization: Insights into How Language Models Process Generics.
Comput. Linguistics, 2024
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
The Generative AI Paradox: "What It Can Create, It May Not Understand".
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Proceedings of the Twelfth International Conference on Learning Representations, 2024
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties.
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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
SPLAIN: Augmenting Cybersecurity Warnings with Reasons and Data.
CoRR, 2023
Cultural and Linguistic Diversity Improves Visual Representations.
CoRR, 2023
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning.
CoRR, 2023
Causal schema induction for knowledge discovery.
CoRR, 2023
Faith and Fate: Limits of Transformers on Compositionality.
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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest.
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
Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations.
CoRR, 2022
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.
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
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Delphi: Towards Machine Ethics and Norms.
CoRR, 2021
On-the-Fly Attention Modularization for Neural Generation.
CoRR, 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
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
On-the-Fly Attention Modulation for Neural Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Edited Media Understanding: Reasoning About Implications of Manipulated Images.
CoRR, 2020
Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning.
CoRR, 2020
Analysis of the Penn Korean Universal Dependency Treebank (PKT-UD): Manual Revision to Build Robust Parsing Model in Korean.
Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies, 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
Social Chemistry 101: Learning to Reason about Social and Moral Norms.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2018
Building Universal Dependency Treebanks in Korean.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
Cyberattack Prediction Through Public Text Analysis and Mini-Theories.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Coordinate Structures in Universal Dependencies for Head-final Languages.
Proceedings of the Second Workshop on Universal Dependencies, 2018
Comprehensive Supersense Disambiguation of English Prepositions and Possessives.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
Adposition Supersenses v2.
CoRR, 2017
Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions.
CoRR, 2017
Double Trouble: The Problem of Construal in Semantic Annotation of Adpositions.
Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017
2016
A corpus of preposition supersenses in English web reviews.
CoRR, 2016
Improving DISCERN with Deep Learning.
Proceedings of the 2016 Text Analysis Conference, 2016
Crazy Mad Nutters: The Language of Mental Health.
Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016
Event Nugget Detection and Argument Extraction with DISCERN.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Applying Universal Dependency to the Arapaho Language.
Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016, 2016
A Corpus of Preposition Supersenses.
Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016, 2016
2015
Identification of Caused Motion Construction.
Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015
A Hierarchy with, of, and for Preposition Supersenses.
Proceedings of The 9th Linguistic Annotation Workshop, 2015
2014
Criteria for Identifying and Annotating Caused Motion Constructions in Corpus Data.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014
PropBank: Semantics of New Predicate Types.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014
2013
Towards comprehensive syntactic and semantic annotations of the clinical narrative.
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J. Am. Medical Informatics Assoc., 2013
2011
Incorporating Coercive Constructions into a Verb Lexicon.
Proceedings of the ACL 2011 Workshop on Relational Models of Semantics, 2011
2010
PropBank Annotation of Multilingual Light Verb Constructions.
Proceedings of the Fourth Linguistic Annotation Workshop, 2010
2009
Leveraging Lexical Resources for the Detection of Event Relations.
Proceedings of the Learning by Reading and Learning to Read, 2009
2007
Criteria for the Manual Grouping of Verb Senses.
Proceedings of the Linguistic Annotation Workshop, 2007