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Rachel Rudinger
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- affiliation: University of Maryland, College Park, MA, USA
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2020 – today
- 2024
- [j3]Neha Srikanth, Marine Carpuat, Rachel Rudinger:
How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability? Trans. Assoc. Comput. Linguistics 12: 1143-1162 (2024) - [c43]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? ACL (Short Papers) 2024: 386-397 - [c42]Nishant Balepur, Shramay Palta
, Rachel Rudinger:
It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning. ACL (Findings) 2024: 10143-10166 - [c41]Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger:
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? ACL (1) 2024: 10308-10330 - [c40]Abhilasha Sancheti, Haozhe An, Rachel Rudinger:
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models. EMNLP 2024: 479-494 - [c39]Shramay Palta, Nishant Balepur, Peter Rankel, Sarah Wiegreffe, Marine Carpuat, Rachel Rudinger:
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning. EMNLP (Findings) 2024: 3451-3473 - [c38]Christabel Acquaye, Haozhe An, Rachel Rudinger:
Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the US. EMNLP 2024: 9483-9502 - [c37]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: 7253-7268 - [i37]Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger:
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? CoRR abs/2402.12483 (2024) - [i36]Neha Srikanth, Marine Carpuat, Rachel Rudinger:
How often are errors in natural language reasoning due to paraphrastic variability? CoRR abs/2404.11717 (2024) - [i35]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 abs/2406.10486 (2024) - [i34]Nishant Balepur, Rachel Rudinger:
Is Your Large Language Model Knowledgeable or a Choices-Only Cheater? CoRR abs/2407.01992 (2024) - [i33]Abhilasha Sancheti, Haozhe An, Rachel Rudinger:
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models. CoRR abs/2410.03996 (2024) - [i32]Shramay Palta, Nishant Balepur, Peter Rankel, Sarah Wiegreffe, Marine Carpuat, Rachel Rudinger:
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning. CoRR abs/2410.10854 (2024) - [i31]Nishant Balepur, Feng Gu, Abhilasha Ravichander, Shi Feng, Jordan L. Boyd-Graber, Rachel Rudinger:
Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer? CoRR abs/2410.15512 (2024) - [i30]Christabel Acquaye, Haozhe An, Rachel Rudinger:
Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the U.S. CoRR abs/2410.16451 (2024) - [i29]Paola Cascante-Bonilla, Yu Hou, Yang Trista Cao, Hal Daumé III, Rachel Rudinger:
Natural Language Inference Improves Compositionality in Vision-Language Models. CoRR abs/2410.22315 (2024) - 2023
- [c36]Haozhe An, Rachel Rudinger:
Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases. ACL (2) 2023: 388-401 - [c35]Shramay Palta
, Rachel Rudinger:
FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models. ACL (Findings) 2023: 9952-9962 - [c34]Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger
:
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. EACL 2023: 1565-1588 - [c33]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: 14708-14725 - [i28]Haozhe An, Rachel Rudinger
:
Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases. CoRR abs/2305.16577 (2023) - [i27]Nishant Balepur, Shramay Palta
, Rachel Rudinger:
It's Not Easy Being Wrong: Evaluating Process of Elimination Reasoning in Large Language Models. CoRR abs/2311.07532 (2023) - [i26]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 abs/2311.09542 (2023) - [i25]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 abs/2312.07141 (2023) - 2022
- [c32]Abhilasha Sancheti, Balaji Vasan Srinivasan, Rachel Rudinger:
Entailment Relation Aware Paraphrase Generation. AAAI 2022: 11258-11266 - [c31]Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger
:
Agent-Specific Deontic Modality Detection in Legal Language. EMNLP 2022: 11563-11579 - [c30]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: 1276-1295 - [c29]Connor Baumler, Rachel Rudinger
:
Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution. NAACL-HLT 2022: 3426-3432 - [c28]Neha Srikanth, Rachel Rudinger
:
Partial-input baselines show that NLI models can ignore context, but they don't. NAACL-HLT 2022: 4753-4763 - [c27]Abhilasha Sancheti, Rachel Rudinger
:
What do Large Language Models Learn about Scripts? *SEM@NAACL-HLT 2022: 1-11 - [i24]Abhilasha Sancheti, Balaji Vasan Srinivasan, Rachel Rudinger:
Entailment Relation Aware Paraphrase Generation. CoRR abs/2203.10483 (2022) - [i23]Neha Srikanth, Rachel Rudinger:
Partial-input baselines show that NLI models can ignore context, but they don't. CoRR abs/2205.12181 (2022) - [i22]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 abs/2206.11684 (2022) - [i21]Haozhe An, Zongxia Li, Jieyu Zhao, Rachel Rudinger:
SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models. CoRR abs/2210.07269 (2022) - [i20]Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger:
Agent-Specific Deontic Modality Detection in Legal Language. CoRR abs/2211.12752 (2022) - [i19]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 abs/2212.09825 (2022) - 2021
- [c26]Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi:
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. AAAI 2021: 12592-12601 - [c25]Christine Herlihy
, Rachel Rudinger
:
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain. ACL/IJCNLP (2) 2021: 1020-1027 - [c24]Anna Sotnikova, Yang Trista Cao, Hal Daumé III, Rachel Rudinger
:
Analyzing Stereotypes in Generative Text Inference Tasks. ACL/IJCNLP (Findings) 2021: 4052-4065 - [i18]Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, Benjamin Van Durme:
Schema Curation via Causal Association Rule Mining. CoRR abs/2104.08811 (2021) - [i17]Christine Herlihy, Rachel Rudinger:
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain. CoRR abs/2106.01491 (2021) - [i16]Abhilasha Sancheti, Rachel Rudinger:
What do Large Language Models Learn about Scripts? CoRR abs/2112.13834 (2021) - 2020
- [c23]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: 4661-4675 - [c22]Vered Shwartz, Rachel Rudinger
, Oyvind Tafjord:
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models. EMNLP (1) 2020: 6850-6861 - [c21]Noah Weber, Rachel Rudinger
, Benjamin Van Durme:
Causal Inference of Script Knowledge. EMNLP (1) 2020: 7583-7596 - [c20]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: 5698-5707 - [i15]Noah Weber, Rachel Rudinger, Benjamin Van Durme:
Causal Inference of Script Knowledge. CoRR abs/2004.01174 (2020) - [i14]Vered Shwartz, Rachel Rudinger, Oyvind Tafjord:
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models. CoRR abs/2004.03012 (2020) - [i13]Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi:
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. CoRR abs/2012.08012 (2020)
2010 – 2019
- 2019
- [c19]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: 6521-6528 - [c18]Arya D. McCarthy, Tongfei Chen, Rachel Rudinger, David W. Matula:
Metrics Matter in Community Detection. COMPLEX NETWORKS (1) 2019: 164-175 - [c17]Chandler May
, Alex Wang, Shikha Bordia, Samuel R. Bowman, Rachel Rudinger
:
On Measuring Social Biases in Sentence Encoders. NAACL-HLT (1) 2019: 622-628 - [i12]Arya D. McCarthy, Tongfei Chen, Rachel Rudinger, David W. Matula:
Metrics matter in community detection. CoRR abs/1901.01354 (2019) - [i11]J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme:
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation. CoRR abs/1901.03644 (2019) - [i10]Chandler May, Alex Wang, Shikha Bordia, Samuel R. Bowman, Rachel Rudinger:
On Measuring Social Biases in Sentence Encoders. CoRR abs/1903.10561 (2019) - [i9]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 abs/1909.13851 (2019) - 2018
- [c16]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: 67-81 - [c15]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: 337-340 - [c14]Rachel Rudinger
, Adam R. Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme:
Neural-Davidsonian Semantic Proto-role Labeling. EMNLP 2018: 944-955 - [c13]Sheng Zhang, Xutai Ma, Rachel Rudinger
, Kevin Duh, Benjamin Van Durme:
Cross-lingual Decompositional Semantic Parsing. EMNLP 2018: 1664-1675 - [c12]Aaron Steven White
, Rachel Rudinger
, Kyle Rawlins, Benjamin Van Durme:
Lexicosyntactic inference in neural models. EMNLP 2018: 4717-4724 - [c11]Rachel Rudinger
, Jason Naradowsky, Brian Leonard, Benjamin Van Durme:
Gender Bias in Coreference Resolution. NAACL-HLT (2) 2018: 8-14 - [c10]Rachel Rudinger
, Aaron Steven White
, Benjamin Van Durme:
Neural Models of Factuality. NAACL-HLT 2018: 731-744 - [c9]Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger
, Benjamin Van Durme:
Hypothesis Only Baselines in Natural Language Inference. *SEM@NAACL-HLT 2018: 180-191 - [i8]Rachel Rudinger, Aaron Steven White, Benjamin Van Durme:
Neural models of factuality. CoRR abs/1804.02472 (2018) - [i7]Rachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme:
Neural Davidsonian Semantic Proto-role Labeling. CoRR abs/1804.07976 (2018) - [i6]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 abs/1804.08207 (2018) - [i5]Rachel Rudinger, Jason Naradowsky, Brian Leonard, Benjamin Van Durme:
Gender Bias in Coreference Resolution. CoRR abs/1804.09301 (2018) - [i4]Adam Poliak, Jason Naradowsky, Aparajita Haldar
, Rachel Rudinger, Benjamin Van Durme:
Hypothesis Only Baselines in Natural Language Inference. CoRR abs/1805.01042 (2018) - [i3]Aaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Lexicosyntactic Inference in Neural Models. CoRR abs/1808.06232 (2018) - 2017
- [j2]Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Ordinal Common-sense Inference. Trans. Assoc. Comput. Linguistics 5: 379-395 (2017) - [c8]Rachel Rudinger
, Chandler May
, Benjamin Van Durme:
Social Bias in Elicited Natural Language Inferences. EthNLP@EACL 2017: 74-79 - [c7]Rachel Rudinger
, Kevin Duh, Benjamin Van Durme:
Skip-Prop: Representing Sentences with One Vector Per Proposition. IWCS(2) 2017 - [c6]Sheng Zhang, Rachel Rudinger
, Benjamin Van Durme:
An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling. IWCS(2) 2017 - 2016
- [c5]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: 1713-1723 - [i2]Aaron Steven White, Dee Ann Reisinger, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Computational linking theory. CoRR abs/1610.02544 (2016) - [i1]Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Ordinal Common-sense Inference. CoRR abs/1611.00601 (2016) - 2015
- [j1]Dee Ann Reisinger, Rachel Rudinger, Francis Ferraro, Craig Harman, Kyle Rawlins, Benjamin Van Durme:
Semantic Proto-Roles. Trans. Assoc. Comput. Linguistics 3: 475-488 (2015) - [c4]Rachel Rudinger
, Pushpendre Rastogi, Francis Ferraro, Benjamin Van Durme:
Script Induction as Language Modeling. EMNLP 2015: 1681-1686 - [c3]Rachel Rudinger
, Vera Demberg, Ashutosh Modi
, Benjamin Van Durme, Manfred Pinkal:
Learning to predict script events from domain-specific text. *SEM@NAACL-HLT 2015: 205-210 - 2014
- [c2]Rachel Rudinger
, Benjamin Van Durme:
Is the Stanford Dependency Representation Semantic? EVENTS@ACL 2014: 54-58 - 2013
- [c1]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: 1435-1445
Coauthor Index

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last updated on 2025-01-21 00:19 CET by the dblp team
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