NLPExplorer

GeBNLP - 2024

Total Papers:- 27

Total Papers accross all years:- 82

Total Citations :- 0

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An Empirical Study of Gendered Stereotypes in Emotional Attributes for Bangla in Multilingual Large Language Models

Jayanta Sadhu | Maneesha Saha | Rifat Shahriyar |

A Fairness Analysis of Human and AI-Generated Student Reflection Summaries

Bhiman Baghel | Arun Balajiee Lekshmi Narayanan | Michael Yoder |

Gender Bias in Turkish Word Embeddings: A Comprehensive Study of Syntax, Semantics and Morphology Across Domains

Duygu Altinok |

The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs

Evaluating Gender Bias in Multilingual Multimodal AI Models: Insights from an Indian Context

Kshitish Ghate | Arjun Choudhry | Vanya Bannihatti Kumar |

Do PLMs and Annotators Share the Same Gender Bias? Definition, Dataset, and Framework of Contextualized Gender Bias

Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP

Vagrant Gautam | Arjun Subramonian | Anne Lauscher | Os Keyes |

What Can Go Wrong in Authorship Profiling: Cross-Domain Analysis of Gender and Age Prediction

Hongyu Chen | Michael Roth | Agnieszka Falenska |

Detecting Gender Discrimination on Actor Level Using Linguistic Discourse Analysis

An Explainable Approach to Understanding Gender Stereotype Text

Manuela Jeyaraj | Sarah Delany |

We Don’t Talk About That: Case Studies on Intersectional Analysis of Social Bias in Large Language Models

Hannah Devinney | Jenny Björklund | Henrik Björklund |

Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP)

On Shortcuts and Biases: How Finetuned Language Models Distinguish Audience-Specific Instructions in Italian and English

Nicola Fanton | Michael Roth |

From ‘Showgirls’ to ‘Performers’: Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs

Marion Bartl | Susan Leavy |