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Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function
7 references·9 citing·36 second hop
Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function (2019)Reducing Gender Bias in Word-Level Langua…Gender Bias in Neural Natural Language Processing (2020)Gender Bias in Neural Natural…Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them (2019)Lipstick on a Pig: Debiasing …Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them (2019)Lipstick on a Pig: Debiasing …Identifying and Reducing Gender Bias in Word-Level Language Models (2019)Identifying and Reducing Gend…Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Men Also Like Shopping: Reduc…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Algorithmic Bias? An Empirical Study into Apparent Gender-Based Discrimination in the Display of STEM Career Ads (2016)Algorithmic Bias? An Empirica…Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey (2025)Deconstructing the ethics of …Fairness in Deep Learning: A Survey on Vision and Language Research (2023)Fairness in Deep Learning: A …CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models (2023)CHBias: Bias Evaluation and M…Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias (2022)Towards an Enhanced Understan…Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention (2022)Debiasing Pretrained Text Enc…Choose Your Lenses: Flaws in Gender Bias Evaluation (2022)Choose Your Lenses: Flaws in …He is very intelligent, she is very beautiful? On Mitigating Social Biases in Language Modelling and Generation (2021)He is very intelligent, she i…Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning (2020)Towards Socially Responsible …Reducing Sentiment Bias in Language Models via Counterfactual Evaluation (2019)Reducing Sentiment Bias in La…Fairness through awareness (2012)Big Data's Disparate Impact (2014)Certifying and Removing Disparate Impact (2015)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)Semantics derived automatically from language corpora contain human-like biases (2017)Mitigating Unwanted Biases with Adversarial Learning (2018)Evaluating the Underlying Gender Bias in Contextualized Word Embeddings (2019)Gender Bias in Machine Translation (2021)The Economics of Discrimination. (1972)Male-Female Wage Differentials in Urban Labor Markets (1973)Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination (2004)Discrimination through Optimization: How Facebook's Ad Delivery Can Lead to Biased Outcomes (2019)Primer on artificial intelligence and robotics (2019)Evolution and impact of bias in human and machine learning algorithm interaction (2020)On Measuring Social Biases in Sentence Encoders (2019)Investigating Bias and Fairness in Facial Expression Recognition (2020)Trustworthy AI: A Computational Perspective (2022)Science faculty’s subtle gender biases favor male students (2012)Word embeddings quantify 100 years of gender and ethnic stereotypes (2018)An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models (2023)Gender Bias in Natural Language Processing and Computer Vision: A Comparative Survey (2024)New Job, New Gender? Measuring the Social Bias in Image Generation Models (2024)A Survey on Bias and Fairness in Machine Learning (2021)On the Opportunities and Risks of Foundation Models (2021)Prevalence of bias against neurodivergence‐related terms in artificial intelligence language models (2024)Ethical Considerations in Emotion Recognition Research (2025)A Review of TRiSM Frameworks in Artificial Intelligence Systems: Fundamentals, Taxonomy, Use Cases, Key Challenges and Future Directions (2026)Towards Debiasing Sentence Representations (2020)BBQ: A hand-built bias benchmark for question answering (2022)Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models (2024)Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (2018)A Review on Fairness in Machine Learning (2022)Bias and Fairness in Large Language Models: A Survey (2024)It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution (2019)Understanding Undesirable Word Embedding Associations (2019)Investigating Gender Bias in Language Models Using Causal Mediation Analysis (2020)
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References

  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints829 cited
  • 2020Gender Bias in Neural Natural Language Processing266 cited
  • 2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them242 cited
  • 2019Identifying and Reducing Gender Bias in Word-Level Language Models219 cited
  • 2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them144 cited
  • 2016Algorithmic Bias? An Empirical Study into Apparent Gender-Based Discrimination in the Display of STEM Career Ads122 cited

Cited by

  • 2023Fairness in Deep Learning: A Survey on Vision and Language Research57 cited
  • 2021He is very intelligent, she is very beautiful? On Mitigating Social Biases in Language Modelling and Generation32 cited
  • 2025Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey26 cited
  • 2019Reducing Sentiment Bias in Language Models via Counterfactual Evaluation23 cited
  • 2022Choose Your Lenses: Flaws in Gender Bias Evaluation19 cited
  • 2020Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning18 cited

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2022
Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias
15 cited
  • 2023CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models14 cited
  • 2022Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention14 cited