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Debiasing Pre-Trained Language Models via Efficient Fine-Tuning
16 references·3 citing·35 second hop
Debiasing Pre-Trained Language Models via Efficient Fine-Tuning (2022)Debiasing Pre-Trained Language Models via…Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)Aion Framework: Dimensional E…StereoSet: Measuring stereotypical bias in pretrained language models (2021)StereoSet: Measuring stereoty…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models (2020)CrowS-Pairs: A Challenge Data…The Woman Worked as a Babysitter: On Biases in Language Generation (2019)The Woman Worked as a Babysit…RoBERTa: A Robustly Optimized BERT Pretraining Approach (2019)RoBERTa: A Robustly Optimized…On Measuring Social Biases in Sentence Encoders (2019)On Measuring Social Biases in…Measuring Bias in Contextualized Word Representations (2019)Measuring Bias in Contextuali…Gender Bias in Contextualized Word Embeddings (2019)Gender Bias in Contextualized…Actionable Auditing (2019)Actionable AuditingThe cost of fairness in binary classification (2018)The cost of fairness in binar…FairGAN: Fairness-aware Generative Adversarial Networks (2018)FairGAN: Fairness-aware Gener…Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…A Convex Framework for Fair Regression (2017)A Convex Framework for Fair R…Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition (2015)Joint Fine-Tuning in Deep Neu…Measuring individual differences in implicit cognition: The implicit association test. (1998)Measuring individual differen…Debiasing large language models: research opportunities* (2024)Debiasing large language mode…Improving Gender-Related Fairness in Sentence Encoders: A Semantics-Based Approach (2023)Improving Gender-Related Fair…An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models (2023)An Empirical Analysis of Para…Attitudinal effects of mere exposure. (1968)Self-schemata and processing information about the self. (1977)Implicit social cognition: Attitudes, self-esteem, and stereotypes. (1995)Role congruity theory of prejudice toward female leaders. (2002)Understanding and using the Implicit Association Test: I. An improved scoring algorithm. (2003)Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity. (2009)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)A Brief Review of Facial Emotion Recognition Based on Visual Information (2018)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition (2018)A systematic review on affective computing: emotion models, databases, and recent advances (2022)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)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)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender bias and stereotypes in Large Language Models (2023)Accountability in algorithmic decision making (2016)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Legal and human rights issues of AI: Gaps, challenges and vulnerabilities (2020)Roles for computing in social change (2020)Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda (2022)Defending Against Neural Fake News (2019)LEGAL-BERT: The Muppets straight out of Law School (2020)On the Opportunities and Risks of Foundation Models (2021)Math = male, me = female, therefore math ≠ me. (2002)Biases in Large Language Models: Origins, Inventory, and Discussion (2023)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Five sources of bias in natural language processing (2021)Auditing large language models: a three-layered approach (2023)ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing (2023)Chatting and cheating: Ensuring academic integrity in the era of ChatGPT (2023)
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References

  • 2019RoBERTa: A Robustly Optimized BERT Pretraining Approach16,988 cited
  • 2023Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics13,695 cited
  • 1998Measuring individual differences in implicit cognition: The implicit association test.8,274 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2015Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition782 cited
  • 2019Actionable Auditing650 cited
  • 2021StereoSet: Measuring stereotypical bias in pretrained language models643 cited
  • 2019On Measuring Social Biases in Sentence Encoders461 cited
  • 2020CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models438 cited
  • 2019The Woman Worked as a Babysitter: On Biases in Language Generation430 cited
  • 2018FairGAN: Fairness-aware Generative Adversarial Networks379 cited
  • 2019Measuring Bias in Contextualized Word Representations348 cited
  • 2019Gender Bias in Contextualized Word Embeddings334 cited
  • 2017A Convex Framework for Fair Regression

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198 cited
  • 2018The cost of fairness in binary classification190 cited
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    • 2023An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models24 cited
    • 2023Improving Gender-Related Fairness in Sentence Encoders: A Semantics-Based Approach12 cited
    • 2024Debiasing large language models: research opportunities*12 cited