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Gender-neutral translation (GNT) aims to avoid expressing the gender of human referents when the source text lacks explicit cues about the gender of those referents.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Evaluating gender bias in machine translation
Gabriel Stanovsky, Noah A. Smith, and Luke Zettlemoyer. 2019 · 2019
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Language (technology) is power: A critical survey of “bias” in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach. 2020 · 2020
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COMET: A Neural Framework for MT Evaluation
Ricardo Rei, Craig Stewart, Ana C. Farinha, and Alon Lavie. 2020 · 2020
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E-mimic: Empowering multilingual inclusive communication
Giuseppe Attanasio, Salvatore Greco, Moreno La Quatra, Luca Cagliero, Michela Tonti, Tania Cerquitelli, and Rachele Raus. 2021 · 2021
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Harms of gender exclusivity and challenges in non-binary representation in language technologies
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M Phillips, and Kai-Wei Chang. 2021 · 2021
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NeuTral Rewriter: A rule-based and neural approach to automatic rewriting into gender neutral alternatives
Eva Vanmassenhove, Chris Emmery, and Dimitar Shterionov. 2021 · 2021
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Welcome to the modern world of pronouns: Identity-inclusive natural language processing beyond gender
Anne Lauscher, Archie Crowley, and Dirk Hovy. 2022 · 2022
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Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
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CometKiwi: IST-unbabel 2022 submission for the quality estimation shared task
Ricardo Rei, Marcos Treviso, Nuno M. Guerreiro, Chrysoula Zerva, Ana C Farinha, Christine Maroti, José G. C. de Souza, Taisiya Glushkova, Duarte Alves, Luisa Coheur, Alon Lavie, and André F. T. Martins. 2022 · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter, Fei Xia, Ed Chi, Quoc V Le, and Denny Zhou. 2022 · 2022
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The devil is in the errors: Leveraging large language models for fine-grained machine translation evaluation
Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, Parker Riley, André Martins, Graham Neubig, Ankush Garg, Jonathan Clark, Markus Freitag, and Orhan Firat. 2023 · 2023
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MISGENDERED: Limits of large language models in understanding pronouns
Tamanna Hossain, Sunipa Dev, and Sameer Singh. 2023 · 2023
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Gender-fair post-editing: A case study beyond the binary
Manuel Lardelli and Dagmar Gromann. 2023 · 2023
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G-eval: Nlg evaluation using gpt-4 with better human alignment
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023 · 2023
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Hi guys or hi folks? benchmarking gender-neutral machine translation with the GeNTE corpus
Andrea Piergentili, Beatrice Savoldi, Dennis Fucci, Matteo Negri, and Luisa Bentivogli. 2023b · 2023
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Neutral is not fair enough: testing the efficiency of different language gender-fair strategies
Elsa Spinelli, Jean-Pierre Chevrot, and Léo Varnet. 2023 · 2023
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Evaluating the impact of stereotypes and language combinations on gender bias occurrence in NMT generic systems
Bertille Triboulet and Pierrette Bouillon. 2023 · 2023
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A rewriting approach for gender inclusivity in Portuguese
Leonor Veloso, Luisa Coheur, and Rui Ribeiro. 2023 · 2023
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Is chatgpt a good nlg evaluator? a preliminary study
Jiaan Wang, Yunlong Liang, Fandong Meng, Zengkui Sun, Haoxiang Shi, Zhixu Li, Jinan Xu, Jianfeng Qu, and Jie Zhou. 2023 · 2023
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Efficient guided generation for llms
Brandon T Willard and Rémi Louf. 2023 · 2023
Cited alongside, same era.
Fine-grained gender control in machine translation with large language models
Minwoo Lee, Hyukhun Koh, Minsung Kim, and Kyomin Jung. 2024 · 2024
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PrExMe! large scale prompt exploration of open source LLMs for machine translation and summarization evaluation
Christoph Leiter and Steffen Eger. 2024 · 2024
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Error analysis prompting enables human-like translation evaluation in large language models
Qingyu Lu, Baopu Qiu, Liang Ding, Kanjian Zhang, Tom Kocmi, and Dacheng Tao. 2024 · 2024
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Scaling neural machine translation to 200 languages
NLLB Team, Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loic Barrault, Gabriel Mejia Gonzalez, Prangthip Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews, Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alexandre Mourachko, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, and Jeff Wang. 2024 · 2024
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Tower: An open multilingual large language model for translation-related tasks
Duarte M. Alves, José Pombal, Nuno M. Guerreiro, Pedro H. Martins, João Alves, Amin Farajian, Ben Peters, Ricardo Rei, Patrick Fernandes, Sweta Agrawal, Pierre Colombo, José G. C. de Souza, and André F. T. Martins. 2024 · 2024
Cited alongside, same era.
From ‘showgirls’ to ‘performers’: Fine-tuning with gender-inclusive language for bias reduction in LLMs
Marion Bartl and Susan Leavy. 2024 · 2024
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Llms instead of human judges? a large scale empirical study across 20 nlp evaluation tasks
Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, Desmond Elliott, Raquel Fernández, Albert Gatt, Esam Ghaleb, Mario Giulianelli, Michael Hanna, Alexander Koller, André F. T. Martins, Philipp Mondorf, Vera Neplenbroek, Sandro Pezzelle, Barbara Plank, David Schlangen, Alessandro Suglia, Aditya K Surikuchi, Ece Takmaz, and Alberto Testoni. 2024 · 2024
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Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al. 2024 · 2024
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Leveraging large language models to measure gender representation bias in gendered language corpora
Erik Derner, Sara Sansalvador de la Fuente, Yoan Gutiérrez, Paloma Moreda, and Nuria Oliver. 2024 · 2024
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Krishno Dey, Prerona Tarannum, Md. Arid Hasan, Imran Razzak, and Usman Naseem. 2024 · 2024
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M-mad: Multidimensional multi-agent debate framework for fine-grained machine translation evaluation
Zhaopeng Feng, Jiayuan Su, Jiamei Zheng, Jiahan Ren, Yan Zhang, Jian Wu, Hongwei Wang, and Zuozhu Liu. 2024 · 2024
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Enhancing gender-inclusive machine translation with neomorphemes and large language models
Andrea Piergentili, Beatrice Savoldi, Matteo Negri, and Luisa Bentivogli. 2024 · 2024
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Gender-specific machine translation with large language models
Eduardo Sánchez, Pierre Andrews, Pontus Stenetorp, Mikel Artetxe, and Marta R. Costa-jussà. 2024 · 2024
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The power of prompts: Evaluating and mitigating gender bias in mt with llms
Aleix Sant, Carlos Escolano, Audrey Mash, Francesca De Luca Fornaciari, and Maite Melero. 2024 · 2024
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What the harm? quantifying the tangible impact of gender bias in machine translation with a human-centered study
Beatrice Savoldi, Sara Papi, Matteo Negri, Ana Guerberof-Arenas, and Luisa Bentivogli. 2024a · 2024
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Qwen2.5: A party of foundation models
Qwen Team. 2024 · 2024
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Gender bias in machine translation and the era of large language models
Eva Vanmassenhove. 2024 · 2024
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The Lou dataset - exploring the impact of gender-fair language in German text classification
Andreas Waldis, Joel Birrer, Anne Lauscher, and Iryna Gurevych. 2024 · 2024
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Watching the watchers: Exposing gender disparities in machine translation quality estimation
Emmanouil Zaranis, Giuseppe Attanasio, Sweta Agrawal, and André F. T. Martins. 2024 · 2024
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, and Ji-Rong Wen. 2024 · 2024
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Ai-assisted human evaluation of machine translation
Vilém Zouhar, Tom Kocmi, and Mrinmaya Sachan. 2025 · 2024
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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
DeepSeek-AI. 2025 · 2025
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Jiawei Gu, Xuhui Jiang, Zhichao Shi, Hexiang Tan, Xuehao Zhai, Chengjin Xu, Wei Li, Yinghan Shen, Shengjie Ma, Honghao Liu, Saizhuo Wang, Kun Zhang, Yuanzhuo Wang, Wen Gao, Lionel Ni, and Jian Guo. 2025 · 2025
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mGeNTE: A multilingual resource for gender-neutral language and translation
Beatrice Savoldi, Eleonora Cupin, Manjinder Thind, Anne Lauscher, Andrea Piergentili, Matteo Negri, and Luisa Bentivogli. 2025 · 2025
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