SenseSpotting: Never let your parallel data tie you to an old domain. - Marine Carpuat; Hal Daumé III; Katharine Henry; Ann Irvine; Jagadeesh Jagarlamudi; Rachel Rudinger (ACL (1), 2013)

Is the Stanford Dependency Representation Semantic? - Rachel Rudinger; Benjamin Van Durme (EVENTS@ACL, 2014)

Script Induction as Language Modeling. - Rachel Rudinger; Pushpendre Rastogi; Francis Ferraro; Benjamin Van Durme (EMNLP, 2015)

Learning to predict script events from domain-specific text. - Rachel Rudinger; Vera Demberg; Ashutosh Modi; Benjamin Van Durme; Manfred Pinkal (*SEM@NAACL-HLT, 2015)

Semantic Proto-Roles. - Dee Ann Reisinger; Rachel Rudinger; Francis Ferraro; Craig Harman; Kyle Rawlins; Benjamin Van Durme (Trans. Assoc. Comput. Linguistics, 2015)

Universal Decompositional Semantics on Universal Dependencies. - Aaron Steven White; Dee Ann Reisinger; Keisuke Sakaguchi; Tim Vieira; Sheng Zhang 012; Rachel Rudinger; Kyle Rawlins; Benjamin Van Durme (EMNLP, 2016)

Computational linking theory. - Aaron Steven White; Dee Ann Reisinger; Rachel Rudinger; Kyle Rawlins; Benjamin Van Durme (CoRR, 2016)

Social Bias in Elicited Natural Language Inferences. - Rachel Rudinger; Chandler May; Benjamin Van Durme (EthNLP@EACL, 2017)

Skip-Prop: Representing Sentences with One Vector Per Proposition. - Rachel Rudinger; Kevin Duh; Benjamin Van Durme (IWCS(2), 2017)

An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling. - Sheng Zhang 012; Rachel Rudinger; Benjamin Van Durme (IWCS(2), 2017)

Ordinal Common-sense Inference. - Sheng Zhang 012; Rachel Rudinger; Kevin Duh; Benjamin Van Durme (Trans. Assoc. Comput. Linguistics, 2017)

Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. - Adam Poliak; Aparajita Haldar; Rachel Rudinger; J. Edward Hu; Ellie Pavlick; Aaron Steven White; Benjamin Van Durme (BlackboxNLP@EMNLP, 2018)

Neural-Davidsonian Semantic Proto-role Labeling. - Rachel Rudinger; Adam R. Teichert; Ryan Culkin; Sheng Zhang 012; Benjamin Van Durme (EMNLP, 2018)

Lexicosyntactic inference in neural models. - Aaron Steven White; Rachel Rudinger; Kyle Rawlins; Benjamin Van Durme (EMNLP, 2018)

Cross-lingual Decompositional Semantic Parsing. - Sheng Zhang 012; Xutai Ma; Rachel Rudinger; Kevin Duh; Benjamin Van Durme (EMNLP, 2018)

Gender Bias in Coreference Resolution. - Rachel Rudinger; Jason Naradowsky; Brian Leonard; Benjamin Van Durme (NAACL-HLT (2), 2018)

Neural Models of Factuality. - Rachel Rudinger; Aaron Steven White; Benjamin Van Durme (NAACL-HLT, 2018)

Hypothesis Only Baselines in Natural Language Inference. - Adam Poliak; Jason Naradowsky; Aparajita Haldar; Rachel Rudinger; Benjamin Van Durme (*SEM@NAACL-HLT, 2018)

Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations. - Adam Poliak; Aparajita Haldar; Rachel Rudinger; J. Edward Hu; Ellie Pavlick; Aaron Steven White; Benjamin Van Durme (CoRR, 2018)

PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation. - J. Edward Hu; Rachel Rudinger; Matt Post; Benjamin Van Durme (AAAI, 2019)

Metrics Matter in Community Detection. - Arya D. McCarthy; Tongfei Chen; Rachel Rudinger; David W. Matula (COMPLEX NETWORKS (1), 2019)

On Measuring Social Biases in Sentence Encoders. - Chandler May; Alex Wang; Shikha Bordia; Samuel R. Bowman; Rachel Rudinger (NAACL-HLT (1), 2019)

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)

"You are grounded!": Latent Name Artifacts in Pre-trained Language Models. - Vered Shwartz; Rachel Rudinger; Oyvind Tafjord (EMNLP (1), 2020)

Causal Inference of Script Knowledge. - Noah Weber; Rachel Rudinger; Benjamin Van Durme (EMNLP (1), 2020)

The Universal Decompositional Semantics Dataset and Decomp Toolkit. - Aaron Steven White; Elias Stengel-Eskin; Siddharth Vashishtha; Venkata Subrahmanyan Govindarajan; Dee Ann Reisinger; Tim Vieira; Keisuke Sakaguchi; Sheng Zhang 012; Francis Ferraro; Rachel Rudinger; Kyle Rawlins; Benjamin Van Durme (LREC, 2020)

Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. - Faeze Brahman; Vered Shwartz; Rachel Rudinger; Yejin Choi 001 (AAAI, 2021)

MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain. - Christine Herlihy; Rachel Rudinger (ACL/IJCNLP (2), 2021)

Analyzing Stereotypes in Generative Text Inference Tasks. - Anna Sotnikova; Yang Trista Cao; Hal Daumé III; Rachel Rudinger (ACL/IJCNLP (Findings), 2021)

Schema Curation via Causal Association Rule Mining. - Noah Weber; Anton Belyy; Nils Holzenberger; Rachel Rudinger; Benjamin Van Durme (CoRR, 2021)

Entailment Relation Aware Paraphrase Generation. - Abhilasha Sancheti; Balaji Vasan Srinivasan; Rachel Rudinger (AAAI, 2022)

Agent-Specific Deontic Modality Detection in Legal Language. - Abhilasha Sancheti; Aparna Garimella; Balaji Vasan Srinivasan; Rachel Rudinger (EMNLP, 2022)

Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution. - Connor Baumler; Rachel Rudinger (NAACL-HLT, 2022)

Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models. - Yang Trista Cao; Anna Sotnikova; Hal Daumé III; Rachel Rudinger; Linda Zou (NAACL-HLT, 2022)

Partial-input baselines show that NLI models can ignore context, but they don't. - Neha Srikanth; Rachel Rudinger (NAACL-HLT, 2022)

What do Large Language Models Learn about Scripts? - Abhilasha Sancheti; Rachel Rudinger (*SEM@NAACL-HLT, 2022)

What to Read in a Contract? Party-Specific Summarization of Important Obligations, Entitlements, and Prohibitions in Legal Documents. - Abhilasha Sancheti; Aparna Garimella; Balaji Vasan Srinivasan; Rachel Rudinger (CoRR, 2022)

Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases. - Haozhe An; Rachel Rudinger (ACL (2), 2023)

FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models. - Shramay Palta; Rachel Rudinger (ACL (Findings), 2023)

SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. - Haozhe An; Zongxia Li; Jieyu Zhao 001; Rachel Rudinger (EACL, 2023)

What to Read in a Contract? Party-Specific Summarization of Legal Obligations, Entitlements, and Prohibitions. - Abhilasha Sancheti; Aparna Garimella; Balaji Vasan Srinivasan; Rachel Rudinger (EMNLP, 2023)

It's Not Easy Being Wrong: Evaluating Process of Elimination Reasoning in Large Language Models. - Nishant Balepur; Shramay Palta; Rachel Rudinger (CoRR, 2023)

Towards Pragmatic Awareness in Question Answering: A Case Study in Maternal and Infant Health. - Neha Srikanth; Rupak Sarkar; Rachel Rudinger; Jordan L. Boyd-Graber (CoRR, 2023)

Multilingual large language models leak human stereotypes across language boundaries. - Yang Trista Cao; Anna Sotnikova; Jieyu Zhao 001; Linda X. Zou; Rachel Rudinger; Hal Daumé III (CoRR, 2023)

Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender? - Haozhe An; Christabel Acquaye; Colin Wang; Zongxia Li; Rachel Rudinger (ACL (Short Papers), 2024)

It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning. - Nishant Balepur; Shramay Palta; Rachel Rudinger (ACL (Findings), 2024)

Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? - Nishant Balepur; Abhilasha Ravichander; Rachel Rudinger (ACL (1), 2024)

Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the US. - Christabel Acquaye; Haozhe An; Rachel Rudinger (EMNLP, 2024)

Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning. - Shramay Palta; Nishant Balepur; Peter Rankel; Sarah Wiegreffe; Marine Carpuat; Rachel Rudinger (EMNLP (Findings), 2024)

On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models. - Abhilasha Sancheti; Haozhe An; Rachel Rudinger (EMNLP, 2024)

Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering. - Neha Srikanth; Rupak Sarkar; Heran Mane; Elizabeth Aparicio; Quynh C. Nguyen; Rachel Rudinger; Jordan L. Boyd-Graber (NAACL-HLT, 2024)

Is Your Large Language Model Knowledgeable or a Choices-Only Cheater? - Nishant Balepur; Rachel Rudinger (CoRR, 2024)

Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the U.S. - Christabel Acquaye; Haozhe An; Rachel Rudinger (CoRR, 2024)

How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability? - Neha Srikanth; Marine Carpuat; Rachel Rudinger (Trans. Assoc. Comput. Linguistics, 2024)

On the Mutual Influence of Gender and Occupation in LLM Representations. - Haozhe An; Connor Baumler; Abhilasha Sancheti; Rachel Rudinger (ACL (1), 2025)

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas. - Nishant Balepur; Vishakh Padmakumar; Fumeng Yang; Shi Feng 005; Rachel Rudinger; Jordan Lee Boyd-Graber (ACL (1), 2025)

Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above. - Nishant Balepur; Rachel Rudinger; Jordan Lee Boyd-Graber (ACL (1), 2025)

Multiple LLM Agents Debate for Equitable Cultural Alignment. - Dayeon Ki; Rachel Rudinger; Tianyi Zhou 001; Marine Carpuat (ACL (1), 2025)

Understanding Common Ground Misalignment in Goal-Oriented Dialog: A Case-Study with Ubuntu Chat Logs. - Rupak Sarkar; Neha Srikanth; Taylor Pellegrin; Rachel Rudinger; Claire Bonial; Philip Resnik (ACL (1), 2025)

No Questions are Stupid, but some are Poorly Posed: Understanding Poorly-Posed Information-Seeking Questions. - Neha Srikanth; Rachel Rudinger; Jordan Lee Boyd-Graber (ACL (1), 2025)

Natural Language Inference Improves Compositionality in Vision-Language Models. - Paola Cascante-Bonilla; Yu Hou; Yang Trista Cao; Hal Daumé III; Rachel Rudinger (ICLR, 2025)

Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer? - Nishant Balepur; Feng Gu; Abhilasha Ravichander; Shi Feng 005; Jordan Lee Boyd-Graber; Rachel Rudinger (NAACL (Short Papers), 2025)

Language Models Predict Empathy Gaps Between Social In-groups and Out-groups. - Yu Hou; Hal Daumé III; Rachel Rudinger (NAACL (Long Papers), 2025)

NLI under the Microscope: What Atomic Hypothesis Decomposition Reveals. - Neha Srikanth; Rachel Rudinger (NAACL (Long Papers), 2025)

FRIDA to the Rescue! Analyzing Synthetic Data Effectiveness in Object-Based Common Sense Reasoning for Disaster Response. - Mollie Shichman; Claire Bonial; Austin Blodgett; Taylor Hudson; Francis Ferraro; Rachel Rudinger (CoRR, 2025)

Speaking the Right Language: The Impact of Expertise Alignment in User-AI Interactions. - Shramay Palta; Nirupama Chandrasekaran; Rachel Rudinger; Scott Counts (CoRR, 2025)

Understanding Common Ground Misalignment in Goal-Oriented Dialog: A Case-Study with Ubuntu Chat Logs. - Rupak Sarkar; Neha Srikanth; Taylor Hudson; Rachel Rudinger; Claire Bonial; Philip Resnik (CoRR, 2025)