Rachel Rudinger

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 68

Top Topics

Coreference Resolution

Top Venues

Publications

Neha Srikanth, Rupak Sarkar, Heran Mane, Elizabeth Aparicio, Quynh C. Nguyen, Rachel Rudinger, Jordan L. Boyd-Graber
Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering. NAACL-HLT (2024)
Neha Srikanth, Marine Carpuat, Rachel Rudinger
How often are errors in natural language reasoning due to paraphrastic variability? CoRR (2024)
Haozhe An, Christabel Acquaye, Colin Wang, Zongxia Li, Rachel Rudinger
Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender? CoRR (2024)
Nishant Balepur, Rachel Rudinger
Is Your Large Language Model Knowledgeable or a Choices-Only Cheater? CoRR (2024)
Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? ACL (1) (2024)
Nishant Balepur, Shramay Palta, Rachel Rudinger
It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning. ACL (Findings) (2024)
Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? CoRR (2024)
Shramay Palta, Rachel Rudinger
FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models. ACL (Findings) (2023)
Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. EACL (2023)
Haozhe An, Rachel Rudinger
Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases. CoRR (2023)
Neha Srikanth, Rupak Sarkar, Rachel Rudinger, Jordan L. Boyd-Graber
Towards Pragmatic Awareness in Question Answering: A Case Study in Maternal and Infant Health. CoRR (2023)
Nishant Balepur, Shramay Palta, Rachel Rudinger
It's Not Easy Being Wrong: Evaluating Process of Elimination Reasoning in Large Language Models. CoRR (2023)
Yang Trista Cao, Anna Sotnikova, Jieyu Zhao, Linda X. Zou, Rachel Rudinger, Hal Daumé III
Multilingual large language models leak human stereotypes across language boundaries. CoRR (2023)
Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger
What to Read in a Contract? Party-Specific Summarization of Legal Obligations, Entitlements, and Prohibitions. EMNLP (2023)
Haozhe An, Rachel Rudinger
Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases. ACL (2) (2023)
Abhilasha Sancheti, Rachel Rudinger
What do Large Language Models Learn about Scripts? *SEM@NAACL-HLT (2022)
Yang Trista Cao, Anna Sotnikova, Hal Daumé III, Rachel Rudinger, Linda Zou
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models. NAACL-HLT (2022)
Neha Srikanth, Rachel Rudinger
Partial-input baselines show that NLI models can ignore context, but they don't. NAACL-HLT (2022)
Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger
Agent-Specific Deontic Modality Detection in Legal Language. CoRR (2022)
Abhilasha Sancheti, Balaji Vasan Srinivasan, Rachel Rudinger
Entailment Relation Aware Paraphrase Generation. CoRR (2022)
Neha Srikanth, Rachel Rudinger
Partial-input baselines show that NLI models can ignore context, but they don't. CoRR (2022)
Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger
What to Read in a Contract? Party-Specific Summarization of Important Obligations, Entitlements, and Prohibitions in Legal Documents. CoRR (2022)
Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. CoRR (2022)
Abhilasha Sancheti, Balaji Vasan Srinivasan, Rachel Rudinger
Entailment Relation Aware Paraphrase Generation. AAAI (2022)
Connor Baumler, Rachel Rudinger
Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution. NAACL-HLT (2022)
Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger
Agent-Specific Deontic Modality Detection in Legal Language. EMNLP (2022)
Yang Trista Cao, Anna Sotnikova, Hal Daumé III, Rachel Rudinger, Linda Zou
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models. CoRR (2022)
Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. AAAI (2021)
Anna Sotnikova, Yang Trista Cao, Hal Daumé III, Rachel Rudinger
Analyzing Stereotypes in Generative Text Inference Tasks. ACL/IJCNLP (Findings) (2021)
Christine Herlihy, Rachel Rudinger
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain. ACL/IJCNLP (2) (2021)
Christine Herlihy, Rachel Rudinger
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain. CoRR (2021)
Abhilasha Sancheti, Rachel Rudinger
What do Large Language Models Learn about Scripts? CoRR (2021)
Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, Benjamin Van Durme
Schema Curation via Causal Association Rule Mining. CoRR (2021)
Noah Weber, Rachel Rudinger, Benjamin Van Durme
Causal Inference of Script Knowledge. CoRR (2020)
Vered Shwartz, Rachel Rudinger, Oyvind Tafjord
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models. EMNLP (1) (2020)
Noah Weber, Rachel Rudinger, Benjamin Van Durme
Causal Inference of Script Knowledge. EMNLP (1) (2020)
Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi
Thinking Like a Skeptic: Defeasible Inference in Natural Language. EMNLP (Findings) (2020)
Vered Shwartz, Rachel Rudinger, Oyvind Tafjord
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models. CoRR (2020)
Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. CoRR (2020)
Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
The Universal Decompositional Semantics Dataset and Decomp Toolkit. LREC (2020)
J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation. CoRR (2019)
Chandler May, Alex Wang, Shikha Bordia, Samuel R. Bowman, Rachel Rudinger
On Measuring Social Biases in Sentence Encoders. NAACL-HLT (1) (2019)
Arya D. McCarthy, Tongfei Chen, Rachel Rudinger, David W. Matula
Metrics matter in community detection. CoRR (2019)
J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme
PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation. AAAI (2019)
Arya D. McCarthy, Tongfei Chen, Rachel Rudinger, David W. Matula
Metrics Matter in Community Detection. COMPLEX NETWORKS (1) (2019)
Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
The Universal Decompositional Semantics Dataset and Decomp Toolkit. CoRR (2019)
Chandler May, Alex Wang, Shikha Bordia, Samuel R. Bowman, Rachel Rudinger
On Measuring Social Biases in Sentence Encoders. CoRR (2019)
Rachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme
Neural-Davidsonian Semantic Proto-role Labeling. EMNLP (2018)
Rachel Rudinger, Jason Naradowsky, Brian Leonard, Benjamin Van Durme
Gender Bias in Coreference Resolution. NAACL-HLT (2) (2018)
Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, Benjamin Van Durme
Hypothesis Only Baselines in Natural Language Inference. CoRR (2018)
Aaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
Lexicosyntactic inference in neural models. EMNLP (2018)
Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. BlackboxNLP@EMNLP (2018)
Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. EMNLP (2018)
Rachel Rudinger, Aaron Steven White, Benjamin Van Durme
Neural models of factuality. CoRR (2018)
Sheng Zhang, Xutai Ma, Rachel Rudinger, Kevin Duh, Benjamin Van Durme
Cross-lingual Decompositional Semantic Parsing. EMNLP (2018)
Rachel Rudinger, Jason Naradowsky, Brian Leonard, Benjamin Van Durme
Gender Bias in Coreference Resolution. CoRR (2018)
Rachel Rudinger, Aaron Steven White, Benjamin Van Durme
Neural Models of Factuality. NAACL-HLT (2018)
Rachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme
Neural Davidsonian Semantic Proto-role Labeling. CoRR (2018)
Aaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
Lexicosyntactic Inference in Neural Models. CoRR (2018)
Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme
Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations. CoRR (2018)
Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, Benjamin Van Durme
Hypothesis Only Baselines in Natural Language Inference. *SEM@NAACL-HLT (2018)
Sheng Zhang, Rachel Rudinger, Benjamin Van Durme
An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling. IWCS(2) (2017)
Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme
Ordinal Common-sense Inference. Trans. Assoc. Comput. Linguistics 5 (2017)
Rachel Rudinger, Kevin Duh, Benjamin Van Durme
Skip-Prop: Representing Sentences with One Vector Per Proposition. IWCS(2) (2017)
Rachel Rudinger, Chandler May, Benjamin Van Durme
Social Bias in Elicited Natural Language Inferences. EthNLP@EACL (2017)
Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme
Ordinal Common-sense Inference. CoRR (2016)
Aaron Steven White, Dee Ann Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
Universal Decompositional Semantics on Universal Dependencies. EMNLP (2016)
Aaron Steven White, Dee Ann Reisinger, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
Computational linking theory. CoRR (2016)
Rachel Rudinger, Pushpendre Rastogi, Francis Ferraro, Benjamin Van Durme
Script Induction as Language Modeling. EMNLP (2015)
Dee Ann Reisinger, Rachel Rudinger, Francis Ferraro, Craig Harman, Kyle Rawlins, Benjamin Van Durme
Semantic Proto-Roles. Trans. Assoc. Comput. Linguistics 3 (2015)
Rachel Rudinger, Vera Demberg, Ashutosh Modi, Benjamin Van Durme, Manfred Pinkal
Learning to predict script events from domain-specific text. *SEM@NAACL-HLT (2015)
Rachel Rudinger, Benjamin Van Durme
Is the Stanford Dependency Representation Semantic? EVENTS@ACL (2014)
Marine Carpuat, Hal Daumé III, Katharine Henry, Ann Irvine, Jagadeesh Jagarlamudi, Rachel Rudinger
SenseSpotting: Never let your parallel data tie you to an old domain. ACL (1) (2013)