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Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting
14 references·1 citing·45 second hop
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting (2023)Improving Gender Fairness of Pre-Trained …Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models (2021)Stereotype and Skew: Quantify…FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders (2021)FairFil: Contrastive Neural D…Measuring and Reducing Gendered Correlations in Pre-trained Models (2020)Measuring and Reducing Gender…Investigating Gender Bias in Language Models Using Causal Mediation Analysis (2020)Investigating Gender Bias in …Mitigating Gender Bias in Natural Language Processing: Literature Review (2019)Mitigating Gender Bias in Nat…Measuring Bias in Contextualized Word Representations (2019)Measuring Bias in Contextuali…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 …HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)HISTORIAE, History of Socio-C…Gender Bias in Contextualized Word Embeddings (2019)Gender Bias in Contextualized…Assessing Social and Intersectional Biases in Contextualized Word Representations (2019)Assessing Social and Intersec…Word embeddings quantify 100 years of gender and ethnic stereotypes (2018)Word embeddings quantify 100 …Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…Non-binary or genderqueer genders (2016)Non-binary or genderqueer gen…Electronic Health Records and Transgender Patients—Practical Recommendations for the Collection of Gender Identity Data (2015)Electronic Health Records and…Specification overfitting in artificial intelligence (2024)Specification overfitting in …“I Don't Think This Is Theoretical; This Is Our Lives”: How Erasure Impacts Health Care for Transgender People (2009)Injustice at Every Turn: A Report of the National Transgender Discrimination Survey (2011)Transgender Health in Massachusetts: Results From a Household Probability Sample of Adults (2011)Factors Impacting Transgender Patients’ Discomfort with Their Family Physicians: A Respondent-Driven Sampling Survey (2015)Opportunities and Gaps in Primary Care Preventative Health Services for Transgender Patients: A Systematic Review (2016)Australian standards of care and treatment guidelines for transgender and gender diverse children and adolescents (2018)The psychology of sex differences (1975)Microaggressions in Everyday Life: Race, Gender, and Sexual Orientation (2011)Diagnostic and Statistical Manual of Mental Disorders (2013)Epidemiology of gender dysphoria and transgender identity (2017)Anxiety and depression across gender and sexual minorities: Implications for transgender, gender nonconforming, pansexual, demisexual, asexual, queer, and questioning individuals. (2018)Ensuring Comprehensive Care and Support for Transgender and Gender-Diverse Children and Adolescents (2018)Semantics. An Introduction to the Science of Meaning (1963)Mapping the Language of Racism: Discourse and the Legitimation of Exploitation (1993)AI can be sexist and racist — it’s time to make it fair (2018)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Out of One, Many: Using Language Models to Simulate Human Samples (2023)Measuring individual differences in implicit cognition: The implicit association test. (1998)Fairness through awareness (2012)Big Data's Disparate Impact (2014)Dissecting racial bias in an algorithm used to manage the health of populations (2019)A Survey on Bias and Fairness in Machine Learning (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Mitigating Unwanted Biases with Adversarial Learning (2018)Evaluating the Underlying Gender Bias in Contextualized Word Embeddings (2019)Identifying and Reducing Gender Bias in Word-Level Language Models (2019)Gender Bias in Machine Translation (2021)Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Gender Bias in Neural Natural Language Processing (2020)Five sources of bias in natural language processing (2021)Trustworthy AI: A Computational Perspective (2022)Science faculty’s subtle gender biases favor male students (2012)Model Cards for Model Reporting (2019)Biases in Large Language Models: Origins, Inventory, and Discussion (2023)Gender bias and stereotypes in Large Language Models (2023)Measuring individual differences in implicit cognition: The implicit association test. (1998)Social Biases in NLP Models as Barriers for Persons with Disabilities (2020)Large pre-trained language models contain human-like biases of what is right and wrong to do (2022)Counterfactual Fairness (2017)Societal Biases in Language Generation: Progress and Challenges (2021)Algorithmic fairness datasets: the story so far (2022)What Artificial Neural Networks Can Tell Us about Human Language Acquisition (2022)LEGAL-BERT: The Muppets straight out of Law School (2020)On the Opportunities and Risks of Foundation Models (2021)
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References

  • 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2018Word embeddings quantify 100 years of gender and ethnic stereotypes1,064 cited
  • 2016Non-binary or genderqueer genders781 cited
  • 2019Mitigating Gender Bias in Natural Language Processing: Literature Review491 cited
  • 2019Measuring Bias in Contextualized Word Representations348 cited
  • 2019Gender Bias in Contextualized Word Embeddings334 cited
  • 2019Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them242 cited
  • 2015Electronic Health Records and Transgender Patients—Practical Recommendations for the Collection of Gender Identity Data171 cited
  • 2020Investigating Gender Bias in Language Models Using Causal Mediation Analysis142 cited
  • 2019Assessing Social and Intersectional Biases in Contextualized Word Representations133 cited
  • 2020Measuring and Reducing Gendered Correlations in Pre-trained Models109 cited
  • 2021FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders62 cited
  • 2021Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models59 cited

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Cited by

  • 2024Specification overfitting in artificial intelligence20 cited