Criteria for the Manual Grouping of Verb Senses. - Cecily Jill Duffield; Jena D. Hwang; Susan Windisch Brown; Dmitriy Dligach; Sarah Vieweg; Jenny Davis; Martha Palmer (LAW@ACL, 2007)

Leveraging Lexical Resources for the Detection of Event Relations. - Martha Palmer; Jena D. Hwang; Susan Windisch Brown; Karin Kipper Schuler; Arrick Lanfranchi (AAAI Spring Symposium: Learning by Reading and Learning to Read, 2009)

PropBank Annotation of Multilingual Light Verb Constructions. - Jena D. Hwang; Archna Bhatia; Claire Bonial; Aous Mansouri; Ashwini Vaidya; Nianwen Xue; Martha Palmer (Linguistic Annotation Workshop, 2010)

Incorporating Coercive Constructions into a Verb Lexicon. - Claire Bonial; Susan Windisch Brown; Jena D. Hwang; Christopher Parisien; Martha Palmer; Suzanne Stevenson (RELMS@ACL, 2011)

Towards comprehensive syntactic and semantic annotations of the clinical narrative. - Daniel Albright; Arrick Lanfranchi; Anwen Fredriksen; William F. Styler IV; Colin Warner; Jena D. Hwang; Jinho D. Choi; Dmitriy Dligach; Rodney D. Nielsen; James H. Martin; Wayne H. Ward; Martha Palmer; et al. (J. Am. Medical Informatics Assoc., 2013)

PropBank: Semantics of New Predicate Types. - Claire Bonial; Julia Bonn; Kathryn Conger; Jena D. Hwang; Martha Palmer (LREC, 2014)

Criteria for Identifying and Annotating Caused Motion Constructions in Corpus Data. - Jena D. Hwang; Annie Zaenen; Martha Palmer (LREC, 2014)

A Hierarchy with, of, and for Preposition Supersenses. - Nathan Schneider 001; Vivek Srikumar; Jena D. Hwang; Martha Palmer (LAW@NAACL-HLT, 2015)

Identification of Caused Motion Construction. - Jena D. Hwang; Martha Palmer (*SEM@NAACL-HLT, 2015)

A Corpus of Preposition Supersenses. - Nathan Schneider 001; Jena D. Hwang; Vivek Srikumar; Meredith Green; Abhijit Suresh; Kathryn Conger; Tim O'Gorman; Martha Palmer (LAW@ACL, 2016)

Applying Universal Dependency to the Arapaho Language. - Irina Wagner; Andrew Cowell; Jena D. Hwang (LAW@ACL, 2016)

Event Nugget Detection and Argument Extraction with DISCERN. - Greg Dubbin; Archna Bhatia; Bonnie J. Dorr; Adam Dalton 001; Kristy Hollingshead; Ian Perera; Suriya Kandaswamy; Jena D. Hwang (FLAIRS, 2016)

Crazy Mad Nutters: The Language of Mental Health. - Jena D. Hwang; Kristy Hollingshead (CLPsych@HLT-NAACL, 2016)

Improving DISCERN with Deep Learning. - Greg Dubbin; Archna Bhatia; Bonnie J. Dorr; Adam Dalton 001; Kristy Hollingshead; Suriya Kandaswamy; Ian Perera; Jena D. Hwang (TAC, 2016)

A corpus of preposition supersenses in English web reviews. - Nathan Schneider 001; Jena D. Hwang; Vivek Srikumar; Meredith Green; Kathryn Conger; Tim O'Gorman; Martha Palmer (CoRR, 2016)

Double Trouble: The Problem of Construal in Semantic Annotation of Adpositions. - Jena D. Hwang; Archna Bhatia; Na-Rae Han; Tim O'Gorman; Vivek Srikumar; Nathan Schneider 001 (*SEM, 2017)

Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions. - Jena D. Hwang; Archna Bhatia; Na-Rae Han; Tim O'Gorman; Vivek Srikumar; Nathan Schneider 001 (CoRR, 2017)

Adposition Supersenses v2. - Nathan Schneider 001; Jena D. Hwang; Archna Bhatia; Na-Rae Han; Vivek Srikumar; Tim O'Gorman; Omri Abend (CoRR, 2017)

Comprehensive Supersense Disambiguation of English Prepositions and Possessives. - Nathan Schneider 001; Jena D. Hwang; Vivek Srikumar; Jakob Prange; Austin Blodgett; Sarah R. Moeller; Aviram Stern; Adi Bitan; Omri Abend (ACL (1), 2018)

Coordinate Structures in Universal Dependencies for Head-final Languages. - Hiroshi Kanayama; Na-Rae Han; Masayuki Asahara; Jena D. Hwang; Yusuke Miyao; Jinho D. Choi; Yuji Matsumoto 001 (UDW@EMNLP, 2018)

Cyberattack Prediction Through Public Text Analysis and Mini-Theories. - Ian Perera; Jena D. Hwang; Kevin Bayas; Bonnie J. Dorr; Yorick Wilks (IEEE BigData, 2018)

Building Universal Dependency Treebanks in Korean. - Jayeol Chun; Na-Rae Han; Jena D. Hwang; Jinho D. Choi (LREC, 2018)

Social Chemistry 101: Learning to Reason about Social and Moral Norms. - Maxwell Forbes; Jena D. Hwang; Vered Shwartz; Maarten Sap; Yejin Choi 001 (EMNLP (1), 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)

Analysis of the Penn Korean Universal Dependency Treebank (PKT-UD): Manual Revision to Build Robust Parsing Model in Korean. - Tae Hwan Oh; Jiyoon Han; Hyonsu Choe; Seokwon Park; Han He; Jinho D. Choi; Na-Rae Han; Jena D. Hwang; Hansaem Kim (IWPT 2020, 2020)

Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning. - Peter West; Ximing Lu; Ari Holtzman; Chandra Bhagavatula; Jena D. Hwang; Yejin Choi 001 (CoRR, 2020)

Edited Media Understanding: Reasoning About Implications of Manipulated Images. - Jeff Da; Maxwell Forbes; Rowan Zellers; Anthony Zheng; Jena D. Hwang; Antoine Bosselut; Yejin Choi 001 (CoRR, 2020)

(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)

Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation. - Jeff Da; Maxwell Forbes; Rowan Zellers; Anthony Zheng; Jena D. Hwang; Antoine Bosselut; Yejin Choi 001 (ACL/IJCNLP (1), 2021)

On-the-Fly Attention Modulation for Neural Generation. - Yue Dong 002; Chandra Bhagavatula; Ximing Lu; Jena D. Hwang; Antoine Bosselut; Jackie Chi Kit Cheung; Yejin Choi 001 (ACL/IJCNLP (Findings), 2021)

Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models. - Peter West; Ximing Lu; Ari Holtzman; Chandra Bhagavatula; Jena D. Hwang; Yejin Choi 001 (ACL/IJCNLP (1), 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)

On-the-Fly Attention Modularization for Neural Generation. - Yue Dong 002; Chandra Bhagavatula; Ximing Lu; Jena D. Hwang; Antoine Bosselut; Jackie Chi Kit Cheung; 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)

The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning. - Jack Hessel; Jena D. Hwang; Jae Sung Park; Rowan Zellers; Chandra Bhagavatula; Anna Rohrbach; Kate Saenko; Yejin Choi 001 (ECCV (36), 2022)

ComFact: A Benchmark for Linking Contextual Commonsense Knowledge. - Silin Gao; Jena D. Hwang; Saya Kanno; Hiromi Wakaki; Yuki Mitsufuji; Antoine Bosselut (EMNLP (Findings), 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)

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)

Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations. - Valentina Pyatkin; Jena D. Hwang; Vivek Srikumar; Ximing Lu; Liwei Jiang; Yejin Choi 001; Chandra Bhagavatula (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)

Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest. - Jack Hessel; Ana Marasovic; Jena D. Hwang; Lillian Lee; Jeff Da; Rowan Zellers; Robert Mankoff; Yejin Choi 001 (ACL (1), 2023)

ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations. - Valentina Pyatkin; Jena D. Hwang; Vivek Srikumar; Ximing Lu; Liwei Jiang; Yejin Choi 001; Chandra Bhagavatula (ACL (1), 2023)

COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements. - Xuhui Zhou; Hao Zhu 011; Akhila Yerukola; Thomas Davidson; Jena D. Hwang; Swabha Swayamdipta; Maarten Sap (ACL (Findings), 2023)

Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions. - Emily Allaway; Jena D. Hwang; Chandra Bhagavatula; Kathleen R. McKeown; Doug Downey; Yejin Choi 001 (EACL, 2023)

"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation. - Allyson Ettinger; Jena D. Hwang; Valentina Pyatkin; 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)

Causal schema induction for knowledge discovery. - Michael Regan; Jena D. Hwang; Keisuke Sakaguchi; James Pustejovsky (CoRR, 2023)

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning. - Faeze Brahman; Chandra Bhagavatula; Valentina Pyatkin; Jena D. Hwang; Xiang Lorraine Li; Hirona Jacqueline Arai; Soumya Sanyal 001; Keisuke Sakaguchi; Xiang Ren 001; Yejin Choi 001 (CoRR, 2023)

Cultural and Linguistic Diversity Improves Visual Representations. - Andre Ye; Sebastin Santy; Jena D. Hwang; Amy X. Zhang; Ranjay Krishna (CoRR, 2023)

SPLAIN: Augmenting Cybersecurity Warnings with Reasons and Data. - Vera A. Kazakova; Jena D. Hwang; Bonnie J. Dorr; Yorick Wilks; J. Blake Gage; Alex Memory; Mark A. Clark (CoRR, 2023)

Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. - Taylor Sorensen; Liwei Jiang; Jena D. Hwang; Sydney Levine; Valentina Pyatkin; Peter West; Nouha Dziri; Ximing Lu; Kavel Rao; Chandra Bhagavatula; Maarten Sap; John Tasioulas; et al. (AAAI, 2024)

Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty. - Kaitlyn Zhou; Jena D. Hwang; Xiang Ren 001; Maarten Sap (ACL (1), 2024)

PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning. - Faeze Brahman; Chandra Bhagavatula; Valentina Pyatkin; Jena D. Hwang; Xiang Lorraine Li; Hirona Jacqueline Arai; Soumya Sanyal 001; Keisuke Sakaguchi; Xiang Ren 001; Yejin Choi 001 (ICLR, 2024)

The Generative AI Paradox: "What It Can Create, It May Not Understand". - Peter West; Ximing Lu; Nouha Dziri; Faeze Brahman; Linjie Li; Jena D. Hwang; Liwei Jiang; Jillian Fisher; Abhilasha Ravichander; Khyathi Raghavi Chandu; Benjamin Newman; Pang Wei Koh; et al. (ICLR, 2024)

UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations. - Wenting Zhao; Justin T. Chiu; Jena D. Hwang; Faeze Brahman; Jack Hessel; Sanjiban Choudhury; Yejin Choi 001; Xiang Li 069; Alane Suhr (NAACL-HLT, 2024)

Exceptions, Instantiations, and Overgeneralization: Insights into How Language Models Process Generics. - Emily Allaway; Chandra Bhagavatula; Jena D. Hwang; Kathleen McKeown; Sarah-Jane Leslie (Comput. Linguistics, 2024)

Diverging Preferences: When do Annotators Disagree and do Models Know? - Michael J. Q. Zhang; Zhilin Wang; Jena D. Hwang; Yi Dong; Olivier Delalleau; Yejin Choi 001; Eunsol Choi; Xiang Ren 001; Valentina Pyatkin (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)

Semantic and Expressive Variations in Image Captions Across Languages. - Andre Ye; Sebastin Santy; Jena D. Hwang; Amy X. Zhang; Ranjay Krishna (CVPR, 2025)

REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance. - Kaitlyn Zhou; Jena D. Hwang; Xiang Ren 001; Nouha Dziri; Dan Jurafsky; Maarten Sap (NAACL (Long Papers), 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)

Ai2 Scholar QA: Organized Literature Synthesis with Attribution. - Amanpreet Singh; Joseph Chee Chang; Chloe Anastasiades; Dany Haddad; Aakanksha Naik; Amber Tanaka; Angele Zamarron; Cecile Nguyen; Jena D. Hwang; Jason Dunkleberger; Matt Latzke; Smita Rao; et al. (CoRR, 2025)

DataDecide: How to Predict Best Pretraining Data with Small Experiments. - Ian Magnusson; Nguyen Tai; Ben Bogin; David Heineman; Jena D. Hwang; Luca Soldaini; Akshita Bhagia; Jiacheng Liu 010; Dirk Groeneveld; Oyvind Tafjord; Noah A. Smith; Pang Wei Koh; et al. (CoRR, 2025)

Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences. - Mingqian Zheng; Wenjia Hu; Patrick Zhao; Motahhare Eslami; Jena D. Hwang; Faeze Brahman; Carolyn Rose; Maarten Sap (CoRR, 2025)

Intentionally Unintentional: GenAI Exceptionalism and the First Amendment. - David Atkinson; Jena D. Hwang; Jacob Morrison (CoRR, 2025)