---
title: "Workshop on Gender Bias in Natural Language Processing 2024"
description: "All 26 papers of Workshop on Gender Bias in Natural Language Processing 2024, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/gebnlp/2024/papers/"
---
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# Workshop on Gender Bias in Natural Language Processing 2024: all accepted papers

26 papers · the most cited first · [← Workshop on Gender Bias in Natural Language Processing 2024](https://md.research.elamur.ai/free/en/venues/gebnlp/2024/)

1. **[Sociodemographic Bias in Language Models: A Survey and Forward Path](https://md.research.elamur.ai/free/en/papers/gupta-2023-sociodemographic-bias-language-models-survey/)**Vipul Gupta, Pranav Narayanan Venkit, Shomir Wilson et al.*13 citations · our summary*
2. **[The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs ↗](https://aclanthology.org/2024.gebnlp-1.7/)**Aleix Sant, Carlos Escolano, Audrey Mash et al.*8 citations*
3. **[Beyond Binary Gender Labels: Revealing Gender Bias in LLMs through Gender-Neutral Name Predictions ↗](https://aclanthology.org/2024.gebnlp-1.16/)**Zhiwen You, HaeJin Lee, Shubhanshu Mishra et al.*6 citations*
4. **[From `Showgirls' to `Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs ↗](https://aclanthology.org/2024.gebnlp-1.18/)**Marion Bartl, Susan Leavy*6 citations*
5. **[An Empirical Study of Gendered Stereotypes in Emotional Attributes for Bangla in Multilingual Large Language Models ↗](https://aclanthology.org/2024.gebnlp-1.25/)**Jayanta Sadhu, Maneesha Saha, Rifat Shahriyar*4 citations*
6. **[Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP ↗](https://aclanthology.org/2024.gebnlp-1.20/)**Vagrant Gautam, Arjun Subramonian, Anne Lauscher et al.*4 citations*
7. **[Towards Fairer NLP Models: Handling Gender Bias In Classification Tasks ↗](https://aclanthology.org/2024.gebnlp-1.10/)**Nasim Sobhani, Sarah Delany*4 citations*
8. **[We Don't Talk About That: Case Studies on Intersectional Analysis of Social Bias in Large Language Models ↗](https://aclanthology.org/2024.gebnlp-1.3/)**Hannah Devinney, Jenny Björklund, Henrik Björklund*4 citations*
9. **[Evaluating Gender Bias in Multilingual Multimodal AI Models: Insights from an Indian Context ↗](https://aclanthology.org/2024.gebnlp-1.21/)**Kshitish Ghate, Arjun Choudhry, Vanya Bannihatti Kumar*3 citations*
10. **[A Parameter-Efficient Multi-Objective Approach to Mitigate Stereotypical Bias in Language Models ↗](https://aclanthology.org/2024.gebnlp-1.1/)**Yifan Wang, Vera Demberg*2 citations*
11. **[Dissecting Biases in Relation Extraction: A Cross-Dataset Analysis on People's Gender and Origin ↗](https://aclanthology.org/2024.gebnlp-1.12/)**Marco Stranisci, Pere-Lluís Huguet Cabot, Elisa Bassignana et al.*2 citations*
12. **[Investigating Gender Bias in STEM Job Advertisements ↗](https://aclanthology.org/2024.gebnlp-1.11/)**Malika Dikshit, Houda Bouamor, Nizar Habash*2 citations*
13. **[Whose wife is it anyway? Assessing bias against same-gender relationships in machine translation ↗](https://aclanthology.org/2024.gebnlp-1.23/)**Ian Stewart, Rada Mihalcea*2 citations*
14. **[A Fairness Analysis of Human and AI-Generated Student Reflection Summaries ↗](https://aclanthology.org/2024.gebnlp-1.5/)**Bhiman Kumar Baghel, Arun Balajiee Lekshmi Narayanan, Michael Miller Yoder*1 citation*
15. **[An Explainable Approach to Understanding Gender Stereotype Text ↗](https://aclanthology.org/2024.gebnlp-1.4/)**Manuela Jeyaraj, Sarah Delany*1 citation*
16. **[Analysis of Annotator Demographics in Sexism Detection ↗](https://aclanthology.org/2024.gebnlp-1.24/)**Narjes Tahaei, Sabine Bergler*1 citation*
17. **[Detecting Gender Discrimination on Actor Level Using Linguistic Discourse Analysis ↗](https://aclanthology.org/2024.gebnlp-1.8/)**Stefanie Urchs, Veronika Thurner, Matthias Aßenmacher et al.*1 citation*
18. **[Gender Bias in Turkish Word Embeddings: A Comprehensive Study of Syntax, Semantics and Morphology Across Domains ↗](https://aclanthology.org/2024.gebnlp-1.13/)**Duygu Altinok*1 citation*
19. **[Generating Gender Alternatives in Machine Translation ↗](https://aclanthology.org/2024.gebnlp-1.15/)**Sarthak Garg, Mozhdeh Gheini, Clara Emmanuel et al.*1 citation*
20. **[What Can Go Wrong in Authorship Profiling: Cross-Domain Analysis of Gender and Age Prediction ↗](https://aclanthology.org/2024.gebnlp-1.9/)**Hongyu Chen, Michael Roth, Agnieszka Falenska*1 citation*
21. **[Detecting and Mitigating LGBTQIA+ Bias in Large Norwegian Language Models ↗](https://aclanthology.org/2024.gebnlp-1.22/)**Selma Bergstrand, Björn Gambäck
22. **[Disagreeable, Slovenly, Honest and Un-named Women? Investigating Gender Bias in English Educational Resources by Extending Existing Gender Bias Taxonomies](https://md.research.elamur.ai/free/en/papers/zhu-2024-disagreeable-slovenly-honest-un-named/)**Haotian Zhu, Kexin Gao, Fei Xia et al.*our summary*
23. **[Do PLMs and Annotators Share the Same Gender Bias? Definition, Dataset, and Framework of Contextualized Gender Bias ↗](https://aclanthology.org/2024.gebnlp-1.2/)**Shucheng Zhu, Bingjie Du, Jishun Zhao et al.
24. **[Is there Gender Bias in Dependency Parsing? Revisiting “Women's Syntactic Resilience” ↗](https://aclanthology.org/2024.gebnlp-1.17/)**Paul Go, Agnieszka Falenska
25. **[On Shortcuts and Biases: How Finetuned Language Models Distinguish Audience-Specific Instructions in Italian and English ↗](https://aclanthology.org/2024.gebnlp-1.6/)**Nicola Fanton, Michael Roth
26. **[Overview of the Shared Task on Machine Translation Gender Bias Evaluation with Multilingual Holistic Bias ↗](https://aclanthology.org/2024.gebnlp-1.26/)**Marta R. Costa-jussà, Pierre Andrews, Christine Basta et al.
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