Workshop on Gender Bias in Natural Language Processing 2025 — accepted papers
Workshop on Gender Bias in Natural Language Processing 2025 is the 2025 edition of the Workshop on Gender Bias in Natural Language Processing, held in Vienna, Austria, August 2025 (publisher: Association for Computational Linguistics). The ACL Anthology lists 35 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 Vienna, Austria · 🗓 August 2025
Most cited papers
- JBBQ: Japanese Bias Benchmark for Analyzing Social Biases in Large Language Models ↗Hitomi Yanaka, Namgi Han, Ryoma Kumon et al.7 citations
- Detecting Bias and Intersectional Bias in Italian Word Embeddings and Language Models ↗Alexandre Puttick, Mascha Kurpicz-Briki5 citations
- Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models ↗Aleksandra Sorokovikova, Pavel Chizhov, Iuliia Eremenko et al.5 citations
- Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora ↗Erik Derner, Sara Sansalvador de la Fuente, Yoan Gutiérrez et al.4 citations
- GENDEROUS: Machine Translation and Cross-Linguistic Evaluation of a Gender-Ambiguous Dataset ↗Janiça Hackenbuchner, Eleni Gkovedarou, Joke Daems3 citations
- GG-BBQ: German Gender Bias Benchmark for Question Answering ↗Shalaka Satheesh, Katrin Klug, Katharina Beckh et al.3 citations
- One Size Fits None: Rethinking Fairness in Medical AI ↗Roland Roller, Michael Hahn, Ajay Madhavan Ravichandran et al.3 citations
- Assessing Gender Bias of Pretrained Bangla Language Models in STEM and SHAPE Fields ↗Noor Mairukh Khan Arnob, Saiyara Mahmud, Azmine Toushik Wasi2 citations
- Gender Bias in Nepali-English Machine Translation: A Comparison of LLMs and Existing MT Systems ↗Supriya Khadka, Bijayan Bhattarai2 citations
- Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference ContextMarion Bartl, Thomas Brendan Murphy, Susan Leavy1 citation · our summary
All accepted papers (35)
- JBBQ: Japanese Bias Benchmark for Analyzing Social Biases in Large Language Models ↗Hitomi Yanaka, Namgi Han, Ryoma Kumon et al.7 citations
- Detecting Bias and Intersectional Bias in Italian Word Embeddings and Language Models ↗Alexandre Puttick, Mascha Kurpicz-Briki5 citations
- Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models ↗Aleksandra Sorokovikova, Pavel Chizhov, Iuliia Eremenko et al.5 citations
- Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora ↗Erik Derner, Sara Sansalvador de la Fuente, Yoan Gutiérrez et al.4 citations
- GENDEROUS: Machine Translation and Cross-Linguistic Evaluation of a Gender-Ambiguous Dataset ↗Janiça Hackenbuchner, Eleni Gkovedarou, Joke Daems3 citations
- GG-BBQ: German Gender Bias Benchmark for Question Answering ↗Shalaka Satheesh, Katrin Klug, Katharina Beckh et al.3 citations
- One Size Fits None: Rethinking Fairness in Medical AI ↗Roland Roller, Michael Hahn, Ajay Madhavan Ravichandran et al.3 citations
- Assessing Gender Bias of Pretrained Bangla Language Models in STEM and SHAPE Fields ↗Noor Mairukh Khan Arnob, Saiyara Mahmud, Azmine Toushik Wasi2 citations
- Gender Bias in Nepali-English Machine Translation: A Comparison of LLMs and Existing MT Systems ↗Supriya Khadka, Bijayan Bhattarai2 citations
- Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference ContextMarion Bartl, Thomas Brendan Murphy, Susan Leavy1 citation · our summary
- GenWriter: Reducing Gender Cues in Biographies through Text Rewriting ↗Shweta Soundararajan, Sarah Jane Delany1 citation
- Measuring Gender Bias in Language Models in Farsi ↗Hamidreza Saffari, Mohammadamin Shafiei, Donya Rooein et al.1 citation
- Towards Massive Multilingual Holistic Bias ↗Xiaoqing Tan, Prangthip Hansanti, Arina Turkatenko et al.1 citation
- Wanted: Personalised Bias Warnings for Gender Bias in Language Models ↗Chiara Di Bonaventura, Michelle Nwachukwu, Maria Stoica1 citation
- A Diachronic Analysis of Human and Model Predictions on Audience Gender in How-to Guides ↗Nicola Fanton, Sidharth Ranjan, Titus von der Malsburg et al.
- Ableism, Ageism, Gender, and Nationality bias in Norwegian and Multilingual Language Models ↗Martin Sjåvik, Samia Touileb
- ArGAN: Arabic Gender, Ability, and Nationality Dataset for Evaluating Biases in Large Language Models ↗Ranwa Aly, Yara Allam, Rana Gaber et al.
- Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation ↗Hadi Mohammadi, Tina Shahedi, Pablo Mosteiro et al.
- Bias Attribution in Filipino Language Models: Extending a Bias Interpretability Metric for Application on Agglutinative Languages ↗Lance Calvin Lim Gamboa, Yue Feng, Mark G. Lee
- Can Explicit Gender Information Improve Zero-Shot Machine Translation? ↗Van-Hien Tran, Huy Hien Vu, Hideki Tanaka et al.
- Characterizing non-binary French: A first step towards debiasing gender inference ↗Marie Flesch, Heather Burnett
- Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMs ↗Elisa Forcada Rodríguez, Olatz Perez-de-Vinaspre, Jon Ander Campos et al.
- Disentangling Biased Representations: A Causal Intervention Framework for Fairer NLP Models ↗Yangge Qian, Yilong Hu, Siqi Zhang et al.
- Examining the Cultural Encoding of Gender Bias in LLMs for Low-Resourced African Languages ↗Abigail Oppong, Hellina Hailu Nigatu, Chinasa T. Okolo
- Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language ↗Kristin Gnadt, David Thulke, Simone Kopeinik et al.
See all 35 papers in Workshop on Gender Bias in Natural Language Processing 2025 — accepted papers →
Papers with our summary in our library (1)
- Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference ContextWorkshop on Gender Bias in Natural Language ProcessingMarion Bartl, Thomas Brendan Murphy, Susan Leavy2025 · 3 citations
Top topics
Coreference resolution (1)Psycholinguistics & language acquisition (1)
Fields
Arts and Humanities (1)Computer Science (1)Social Sciences (1)
Top authors
Top institutions
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