---
title: "Workshop on Gender Bias in Natural Language Processing 2025"
description: "All 35 papers of Workshop on Gender Bias in Natural Language Processing 2025, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/gebnlp/2025/papers/"
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# Workshop on Gender Bias in Natural Language Processing 2025: all accepted papers

35 papers · the most cited first · [← Workshop on Gender Bias in Natural Language Processing 2025](https://md.research.elamur.ai/free/en/venues/gebnlp/2025/)

1. **[JBBQ: Japanese Bias Benchmark for Analyzing Social Biases in Large Language Models ↗](https://aclanthology.org/2025.gebnlp-1.1/)**Hitomi Yanaka, Namgi Han, Ryoma Kumon et al.*7 citations*
2. **[Detecting Bias and Intersectional Bias in Italian Word Embeddings and Language Models ↗](https://aclanthology.org/2025.gebnlp-1.3/)**Alexandre Puttick, Mascha Kurpicz-Briki*5 citations*
3. **[Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models ↗](https://aclanthology.org/2025.gebnlp-1.20/)**Aleksandra Sorokovikova, Pavel Chizhov, Iuliia Eremenko et al.*5 citations*
4. **[Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora ↗](https://aclanthology.org/2025.gebnlp-1.39/)**Erik Derner, Sara Sansalvador de la Fuente, Yoan Gutiérrez et al.*4 citations*
5. **[GENDEROUS: Machine Translation and Cross-Linguistic Evaluation of a Gender-Ambiguous Dataset ↗](https://aclanthology.org/2025.gebnlp-1.27/)**Janiça Hackenbuchner, Eleni Gkovedarou, Joke Daems*3 citations*
6. **[GG-BBQ: German Gender Bias Benchmark for Question Answering ↗](https://aclanthology.org/2025.gebnlp-1.14/)**Shalaka Satheesh, Katrin Klug, Katharina Beckh et al.*3 citations*
7. **[One Size Fits None: Rethinking Fairness in Medical AI ↗](https://aclanthology.org/2025.gebnlp-1.25/)**Roland Roller, Michael Hahn, Ajay Madhavan Ravichandran et al.*3 citations*
8. **[Assessing Gender Bias of Pretrained Bangla Language Models in STEM and SHAPE Fields ↗](https://aclanthology.org/2025.gebnlp-1.24/)**Noor Mairukh Khan Arnob, Saiyara Mahmud, Azmine Toushik Wasi*2 citations*
9. **[Gender Bias in Nepali-English Machine Translation: A Comparison of LLMs and Existing MT Systems ↗](https://aclanthology.org/2025.gebnlp-1.6/)**Supriya Khadka, Bijayan Bhattarai*2 citations*
10. **[Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context](https://md.research.elamur.ai/free/en/papers/bartl-2025-adapting-psycholinguistic-research-llms-gender/)**Marion Bartl, Thomas Brendan Murphy, Susan Leavy*1 citation · our summary*
11. **[GenWriter: Reducing Gender Cues in Biographies through Text Rewriting ↗](https://aclanthology.org/2025.gebnlp-1.30/)**Shweta Soundararajan, Sarah Jane Delany*1 citation*
12. **[Measuring Gender Bias in Language Models in Farsi ↗](https://aclanthology.org/2025.gebnlp-1.21/)**Hamidreza Saffari, Mohammadamin Shafiei, Donya Rooein et al.*1 citation*
13. **[Towards Massive Multilingual Holistic Bias ↗](https://aclanthology.org/2025.gebnlp-1.35/)**Xiaoqing Tan, Prangthip Hansanti, Arina Turkatenko et al.*1 citation*
14. **[Wanted: Personalised Bias Warnings for Gender Bias in Language Models ↗](https://aclanthology.org/2025.gebnlp-1.13/)**Chiara Di Bonaventura, Michelle Nwachukwu, Maria Stoica*1 citation*
15. **[A Diachronic Analysis of Human and Model Predictions on Audience Gender in How-to Guides ↗](https://aclanthology.org/2025.gebnlp-1.22/)**Nicola Fanton, Sidharth Ranjan, Titus von der Malsburg et al.
16. **[Ableism, Ageism, Gender, and Nationality bias in Norwegian and Multilingual Language Models ↗](https://aclanthology.org/2025.gebnlp-1.32/)**Martin Sjåvik, Samia Touileb
17. **[ArGAN: Arabic Gender, Ability, and Nationality Dataset for Evaluating Biases in Large Language Models ↗](https://aclanthology.org/2025.gebnlp-1.23/)**Ranwa Aly, Yara Allam, Rana Gaber et al.
18. **[Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation ↗](https://aclanthology.org/2025.gebnlp-1.9/)**Hadi Mohammadi, Tina Shahedi, Pablo Mosteiro et al.
19. **[Bias Attribution in Filipino Language Models: Extending a Bias Interpretability Metric for Application on Agglutinative Languages ↗](https://aclanthology.org/2025.gebnlp-1.19/)**Lance Calvin Lim Gamboa, Yue Feng, Mark G. Lee
20. **[Can Explicit Gender Information Improve Zero-Shot Machine Translation? ↗](https://aclanthology.org/2025.gebnlp-1.17/)**Van-Hien Tran, Huy Hien Vu, Hideki Tanaka et al.
21. **[Characterizing non-binary French: A first step towards debiasing gender inference ↗](https://aclanthology.org/2025.gebnlp-1.16/)**Marie Flesch, Heather Burnett
22. **[Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMs ↗](https://aclanthology.org/2025.gebnlp-1.18/)**Elisa Forcada Rodríguez, Olatz Perez-de-Vinaspre, Jon Ander Campos et al.
23. **[Disentangling Biased Representations: A Causal Intervention Framework for Fairer NLP Models ↗](https://aclanthology.org/2025.gebnlp-1.33/)**Yangge Qian, Yilong Hu, Siqi Zhang et al.
24. **[Examining the Cultural Encoding of Gender Bias in LLMs for Low-Resourced African Languages ↗](https://aclanthology.org/2025.gebnlp-1.31/)**Abigail Oppong, Hellina Hailu Nigatu, Chinasa T. Okolo
25. **[Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language ↗](https://aclanthology.org/2025.gebnlp-1.37/)**Kristin Gnadt, David Thulke, Simone Kopeinik et al.
26. **[Fine-Tuning vs Prompting Techniques for Gender-Fair Rewriting of Machine Translations ↗](https://aclanthology.org/2025.gebnlp-1.28/)**Paolo Mainardi, Federico Garcea, Alberto Barrón-Cedeño
27. **[From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models ↗](https://aclanthology.org/2025.gebnlp-1.26/)**Melanie Galea, Claudia Borg
28. **[Intersectional Bias in Japanese Large Language Models from a Contextualized Perspective ↗](https://aclanthology.org/2025.gebnlp-1.2/)**Hitomi Yanaka, Xinqi He, Lu Jie et al.
29. **[Introducing MARB –- A Dataset for Studying the Social Dimensions of Reporting Bias in Language Models ↗](https://aclanthology.org/2025.gebnlp-1.5/)**Tom Södahl Bladsjö, Ricardo Muñoz Sánchez
30. **[Mind the Gap: Gender-based Differences in Occupational Embeddings ↗](https://aclanthology.org/2025.gebnlp-1.7/)**Olga Kononykhina, Anna-Carolina Haensch, Frauke Kreuter
31. **[Power(ful) Associations: Rethinking “Stereotype” for NLP ↗](https://aclanthology.org/2025.gebnlp-1.4/)**Hannah Devinney
32. **[Some Myths About Bias: A Queer Studies Reading Of Gender Bias In NLP ↗](https://aclanthology.org/2025.gebnlp-1.29/)**Filipa Calado
33. **[Strengths and Limitations of Word-Based Task Explainability in Vision Language Models: a Case Study on Biological Sex Biases in the Medical Domain ↗](https://aclanthology.org/2025.gebnlp-1.12/)**Lorenzo Bertolini, Valentin Comte, Victoria Ruiz-Serra et al.
34. **[Tag-First: Mitigating Distributional Bias in Synthetic User Profiles through Controlled Attribute Generation ↗](https://aclanthology.org/2025.gebnlp-1.15/)**Ismael Garrido-Muñoz, Fernando Martínez-Santiago, Arturo Montejo-Ráez
35. **[WoNBias: A Dataset for Classifying Bias & Prejudice Against Women in Bengali Text ↗](https://aclanthology.org/2025.gebnlp-1.10/)**Md. Raisul Islam Aupi, Nishat Tafannum, Md. Shahidur Rahman et al.
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