NLPExplorer

Rachel Rudinger

Number of Papers:- 47

Number of Citations:- 114

First ACL Paper:- 2013

Latest ACL Paper:- 2024

Venues:-

NAACL

EMNLP

DMR

Findings

LREC

CSRR

TACL

EthNLP

IWCS

ACL

KnowLLM

EACL

LAW

EVENTS

*SEMEVAL

IJCNLP

*SEM

Co-Authors:-

Aaron Steven White

Abhilasha Ravichander

Abhilasha Sancheti

Adam Poliak

Adam Teichert

Similar Authors:-

PropBank-Powered Data Creation: Utilizing Sense-Role Labelling to Generate Disaster Scenario Data DMR WS

Is Your Large Language Model Knowledgeable or a Choices-Only Cheater? KnowLLM WS

Nishant Balepur | Rachel Rudinger |

Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question? ACL

Nishant Balepur | Abhilasha Ravichander | Rachel Rudinger |

Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering NAACL

It’s Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning F i n d i n g s - A C L

Nishant Balepur | Shramay Palta | Rachel Rudinger |

Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender? ACL

Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the US EMNLP

Christabel Acquaye | Haozhe An | Rachel Rudinger |

On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models EMNLP

Abhilasha Sancheti | Haozhe An | Rachel Rudinger |

How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability? TACL

Neha Srikanth | Marine Carpuat | Rachel Rudinger |

Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning F i n d i n g s - E M N L P

SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models EACL

Haozhe An | Zongxia Li | Jieyu Zhao | Rachel Rudinger |

Use Defines Possibilities: Reasoning about Object Function to Interpret and Execute Robot Instructions IWCS

FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models F i n d i n g s - A C L

Shramay Palta | Rachel Rudinger |

Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases ACL

Haozhe An | Rachel Rudinger |

What to Read in a Contract? Party-Specific Summarization of Legal Obligations, Entitlements, and Prohibitions EMNLP

Abhilasha Sancheti | Aparna Garimella | Balaji Srinivasan | Rachel Rudinger |

Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022) ACL CSRR

Recognition of They/Them as Singular Personal Pronouns in Coreference Resolution NAACL

Connor Baumler | Rachel Rudinger |

Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models NAACL

Partial-input baselines show that NLI models can ignore context, but they don’t. NAACL

Neha Srikanth | Rachel Rudinger |

What do Large Language Models Learn about Scripts? *SEM NAACL

Abhilasha Sancheti | Rachel Rudinger |

Human Schema Curation via Causal Association Rule Mining LAW LREC

Agent-Specific Deontic Modality Detection in Legal Language EMNLP

Abhilasha Sancheti | Aparna Garimella | Balaji Vasan Srinivasan | Rachel Rudinger |

MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain ACL IJCNLP

Christine Herlihy | Rachel Rudinger |

Analyzing Stereotypes in Generative Text Inference Tasks Findings

Anna Sotnikova | Yang Trista Cao | Hal Daumé III | Rachel Rudinger |

Thinking Like a Skeptic: Defeasible Inference in Natural Language EMNLP Findings

Causal Inference of Script Knowledge EMNLP

Noah Weber | Rachel Rudinger | Benjamin Van Durme |

“You are grounded!”: Latent Name Artifacts in Pre-trained Language Models EMNLP

Vered Shwartz | Rachel Rudinger | Oyvind Tafjord |

The Universal Decompositional Semantics Dataset and Decomp Toolkit LREC

On Measuring Social Biases in Sentence Encoders NAACL

Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation EMNLP

Neural-Davidsonian Semantic Proto-role Labeling EMNLP

Cross-lingual Decompositional Semantic Parsing EMNLP

Lexicosyntactic Inference in Neural Models EMNLP

Aaron Steven White | Rachel Rudinger | Kyle Rawlins | Benjamin Van Durme |

Neural Models of Factuality NAACL

Rachel Rudinger | Aaron Steven White | Benjamin Van Durme |

Gender Bias in Coreference Resolution NAACL

Rachel Rudinger | Jason Naradowsky | Brian Leonard | Benjamin Van Durme |

Hypothesis Only Baselines in Natural Language Inference *SEMEVAL

Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation EMNLP WS

Ordinal Common-sense Inference TACL

Sheng Zhang | Rachel Rudinger | Kevin Duh | Benjamin Van Durme |

Social Bias in Elicited Natural Language Inferences EthNLP WS

Rachel Rudinger | Chandler May | Benjamin Van Durme |

Skip-Prop: Representing Sentences with One Vector Per Proposition IWCS WS

Rachel Rudinger | Kevin Duh | Benjamin Van Durme |

An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling IWCS WS

Sheng Zhang | Rachel Rudinger | Benjamin Van Durme |

Universal Decompositional Semantics on Universal Dependencies EMNLP

Script Induction as Language Modeling EMNLP

Rachel Rudinger | Pushpendre Rastogi | Francis Ferraro | Benjamin Van Durme |

Semantic Proto-Roles TACL

Learning to predict script events from domain-specific text *SEMEVAL

Is the Stanford Dependency Representation Semantic? EVENTS WS

Rachel Rudinger | Benjamin Van Durme |

SenseSpotting: Never let your parallel data tie you to an old domain ACL