Workshop on Gender Bias in Natural Language Processing 2024: all accepted papers
- Sociodemographic Bias in Language Models: A Survey and Forward PathVipul Gupta, Pranav Narayanan Venkit, Shomir Wilson et al.13 citations · our summary
- The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs ↗Aleix Sant, Carlos Escolano, Audrey Mash et al.8 citations
- Beyond Binary Gender Labels: Revealing Gender Bias in LLMs through Gender-Neutral Name Predictions ↗Zhiwen You, HaeJin Lee, Shubhanshu Mishra et al.6 citations
- From `Showgirls' to `Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs ↗Marion Bartl, Susan Leavy6 citations
- An Empirical Study of Gendered Stereotypes in Emotional Attributes for Bangla in Multilingual Large Language Models ↗Jayanta Sadhu, Maneesha Saha, Rifat Shahriyar4 citations
- Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP ↗Vagrant Gautam, Arjun Subramonian, Anne Lauscher et al.4 citations
- Towards Fairer NLP Models: Handling Gender Bias In Classification Tasks ↗Nasim Sobhani, Sarah Delany4 citations
- We Don't Talk About That: Case Studies on Intersectional Analysis of Social Bias in Large Language Models ↗Hannah Devinney, Jenny Björklund, Henrik Björklund4 citations
- Evaluating Gender Bias in Multilingual Multimodal AI Models: Insights from an Indian Context ↗Kshitish Ghate, Arjun Choudhry, Vanya Bannihatti Kumar3 citations
- A Parameter-Efficient Multi-Objective Approach to Mitigate Stereotypical Bias in Language Models ↗Yifan Wang, Vera Demberg2 citations
- Dissecting Biases in Relation Extraction: A Cross-Dataset Analysis on People's Gender and Origin ↗Marco Stranisci, Pere-Lluís Huguet Cabot, Elisa Bassignana et al.2 citations
- Investigating Gender Bias in STEM Job Advertisements ↗Malika Dikshit, Houda Bouamor, Nizar Habash2 citations
- Whose wife is it anyway? Assessing bias against same-gender relationships in machine translation ↗Ian Stewart, Rada Mihalcea2 citations
- A Fairness Analysis of Human and AI-Generated Student Reflection Summaries ↗Bhiman Kumar Baghel, Arun Balajiee Lekshmi Narayanan, Michael Miller Yoder1 citation
- An Explainable Approach to Understanding Gender Stereotype Text ↗Manuela Jeyaraj, Sarah Delany1 citation
- Analysis of Annotator Demographics in Sexism Detection ↗Narjes Tahaei, Sabine Bergler1 citation
- Detecting Gender Discrimination on Actor Level Using Linguistic Discourse Analysis ↗Stefanie Urchs, Veronika Thurner, Matthias Aßenmacher et al.1 citation
- Generating Gender Alternatives in Machine Translation ↗Sarthak Garg, Mozhdeh Gheini, Clara Emmanuel et al.1 citation
- What Can Go Wrong in Authorship Profiling: Cross-Domain Analysis of Gender and Age Prediction ↗Hongyu Chen, Michael Roth, Agnieszka Falenska1 citation
- Detecting and Mitigating LGBTQIA+ Bias in Large Norwegian Language Models ↗Selma Bergstrand, Björn Gambäck
- Disagreeable, Slovenly, Honest and Un-named Women? Investigating Gender Bias in English Educational Resources by Extending Existing Gender Bias TaxonomiesHaotian Zhu, Kexin Gao, Fei Xia et al.our summary
- Do PLMs and Annotators Share the Same Gender Bias? Definition, Dataset, and Framework of Contextualized Gender Bias ↗Shucheng Zhu, Bingjie Du, Jishun Zhao et al.
- Is there Gender Bias in Dependency Parsing? Revisiting “Women's Syntactic Resilience” ↗Paul Go, Agnieszka Falenska
- Overview of the Shared Task on Machine Translation Gender Bias Evaluation with Multilingual Holistic Bias ↗Marta R. Costa-jussà, Pierre Andrews, Christine Basta et al.
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