Workshop on Gender Bias in Natural Language Processing
The 6th Workshop on Gender Bias in Natural Language Processing at ACL 2025.
Accepted Papers
| Presentation Mode | Title | Authors |
|---|---|---|
| Oral Presentation | Introducing MARB — A Dataset for Studying the Social Dimensions of Reporting Bias in Language Models | Tom Södahl Bladsjö, Ricardo Muñoz Sánchez |
| Oral Presentation | GENDEROUS: Machine Translation and Cross-Linguistic Evaluation of a Gender-Ambiguous Dataset | Janiça Hackenbuchner, Joke Daems, Eleni Gkovedarou |
| Poster I | Towards Massive Multilingual Holistic Bias | Xiaoqing Tan, Prangthip Hansanti, Arina Turkatenko, Joe Chuang, Carleigh Wood, Bokai YU, Christophe Ropers, Marta R. Costa-jussà |
| Poster I | Detecting Bias and Intersectional Bias in Italian Word Embeddings and Language Models | Alexandre Puttick, Mascha Kurpicz-Briki |
| Poster I | Sports and Women’s Sports: Gender Bias in Text Generation with Olympic Data | Laura Biester |
| Poster I | Power(ful) Associations: Rethinking ``Stereotype’’ for NLP | Hannah Devinney |
| Poster I | Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language | Kristin Gnadt, David Thulke, Simone Kopeinik, Ralf Schlüter |
| Poster I | Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context | Marion Bartl, Thomas Brendan Murphy, Susan Leavy |
| Poster I | Gender Bias in Nepali-English Machine Translation: A Comparison of LLMs and Existing MT Systems | Supriya Khadka, Bijayan Bhattarai |
| Poster I | Mind the Gap: Gender-based Differences in Occupational Embeddings | Olga Kononykhina, Anna-Carolina Haensch, Frauke Kreuter |
| Poster I | Bias Beyond English: Evaluating Social Bias and Debiasing Methods in a Low-Resource Setting | Ej Zhou, Weiming Lu |
| Poster I | Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation | Hadi Mohammadi, Tina Shahedi, Pablo Mosteiro, Massimo Poesio, Ayoub Bagheri, Anastasia Giachanou |
| Poster II | Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora | Erik Derner, Sara Sansalvador de la Fuente, Yoan Gutierrez, Paloma Moreda Pozo, Nuria M Oliver |
| Poster II | Strengths and Limitations of Word-Based Task Explainability in Vision Language Models: a Case Study on Biological Sex Biases in the Medical Domain | Lorenzo Bertolini, Valentin Comte, Victoria Ruiz-Serra, Lia Orfei, Mario Ceresa |
| Poster II | GG-BBQ: German Gender Bias Benchmark for Question Answering | Shalaka Satheesh, Katrin Klug, Katharina Beckh, Héctor Allende-Cid, Sebastian Houben, Teena Hassan |
| Poster II | Characterizing non-binary French: A first step towards debiasing gender inference | Marie Flesch, Heather Burnett |
| Poster II | Can Explicit Gender Information Improve Zero-Shot Machine Translation? | Van-Hien Tran, Huy Hien Vu, Hideki Tanaka, Masao Utiyama |
| Poster II | Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMs | Elisa Forcada Rodríguez, Jon Ander Campos, Olatz Perez-de-Vinaspre, Dietrich Klakow, Vagrant Gautam |
| Poster II | 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 |
| Poster II | Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models | Aleksandra Sorokovikova, Pavel Chizhov, Iuliia Eremenko, Ivan P. Yamshchikov |
| Poster II | Measuring Gender Bias in the Farsi Language | Hamidreza Saffari, Mohammadamin Shafiei, Donya Rooein, Debora Nozza |
| Poster II | A Diachronic Analysis of Human and Model Predictions on Audience Gender in How-to Guides | Nicola Fanton, Sidharth Ranjan, Titus von der Malsburg, Michael Roth |
| Poster II | One Size Fits None: Rethinking Fairness in Medical AI | Roland Roller, Michael Hahn, Ajay Madhavan Ravichandran, Zeineb Sassi, Bilgin Osmanodja, Florian Oetke, Aljoscha Burchardt, Klaus Netter, Anne Herrmann, Klemens Budde, Peter Dabrock, Tobias Strapatsas, Sebastian Möller |
| Poster III | From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models | Melanie Galea, Claudia Borg |
| Poster III | Some Myths About Bias: A Queer Studies Reading Of Gender Bias In NLP | Filipa Calado |
| Poster III | GenWriter: Reducing Gender Cues in Biographies through Text Rewriting | Shweta Soundararajan, Sarah Jane Delany |
| Poster III | Examining the Cultural Encoding of Gender Bias in LLMs for Low-Resourced African Languages | Abigail Oppong, Hellina Hailu Nigatu, Chinasa T. Okolo |
| Poster III | Ableism, Ageism, Gender, and Nationality bias in Norwegian and Multilingual Language Models | Martin Sjåvik, Samia Touileb |
| Poster III | Gender Bias and the Role of Context in Human Perception and Machine Translation | Janiça Hackenbuchner, Arda Tezcan, Joke Daems |
| Poster III (Findings) | GeNRe: a French Gender-Neutral Rewriting System Using Collective Nouns | Enzo Doyen, Amalia Todirascu |
| Poster III (Findings) | taz2024full: Analysing German Newspapers for Gender Bias and Discrimination across Decades | Stefanie Urchs, Veronika Thurner, Matthias Aßenmacher, Christian Heumann, Stephanie Thiemichen |
| Poster III (Findings) | BanStereoSet: A Dataset to Measure Stereotypical Social Biases in LLMs for Bangla | Mahammed Kamruzzaman, Abdullah Al Monsur, Shrabon Kumar Das, Enamul Hassan, Gene Louis Kim |
| Lightning Talk | JBBQ: Japanese Bias Benchmark for Analyzing Social Biases in Large Language Models | Hitomi Yanaka, Namgi Han, Ryoma Kumon, Lu Jie, Masashi Takeshita, Ryo Sekizawa, Taisei Katô, Hiromi Arai |
| Lightning Talk | Intersectional Bias in Japanese Large Language Models from Contextualized Perspective | Hitomi Yanaka, Xinqi He, Lu Jie, Namgi Han, Ryoma Kumon, Yuma Matsuoka, Kazuhiko Watabe, Yuko Itatsu |
| Lightning Talk | Disentangling Biased Representations: A Causal Intervention Framework for Fairer NLP Models | Yangge Qian, Yilong Hu, Siqi Zhang, Xu Gu, Xiaolin Qin |
| Lightning Talk | Fine-Tuning vs Prompting Techniques for Gender-Fair Rewriting of Machine Translations | Paolo Mainardi, Federico Garcea, Alberto Barrón-Cedeño |
| Lightning Talk | ArGAN: Arabic Gender, Ability, and Nationality Dataset for Evaluating Biases in Large Language Models | Ranwa Aly, Yara Allam, Rana Gaber, Christine Basta |
| Lightning Talk | Assessing Gender Bias of Pretrained Bangla Language Models in STEM and SHAPE Fields | Noor Mairukh Khan Arnob, Saiyara Mahmud, Azmine Toushik Wasi |
| Lightning Talk | WoNBias: A Dataset for Classifying Bias & Prejudice Against Women in Bengali Text | Raisul Islam Aupi, Nishat Tafannum, Shahidur Rahman, Kh Mahmudul Hassan, Naimur Rahman |
| Lightning Talk | LLMs Exhibit Implicit Biases in Predicting Patients’ Gender from Clinical Conversations | Naveen Jafer Nizar, Swetasudha Panda, Daeja Oxendine, Qinlan Shen, Sumana Srivatsa, Krishnaram Kenthapadi |
| Lightning Talk | Wanted: Personalised Bias Warnings for Gender Bias in Language Models | Chiara Di Bonaventura, Michelle Nwachukwu, Maria Stoica |
| Lightning Talk (Findings) | Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations | Pardis Sadat Zahraei, Ali Emami |
| Lightning Talk (Findings) | Biases Propagate in Encoder-based Vision-Language Models: A Systematic Analysis From Intrinsic Measures to Zero-shot Retrieval Outcomes | Kshitish Ghate, Tessa Charlesworth, Mona T. Diab, Aylin Caliskan |