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An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models
14 references·13 citing·33 second hop
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models (2022)An Empirical Survey of the Effectiveness …Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)Aion Framework: Dimensional E…Towards Understanding and Mitigating Social Biases in Language Models (2021)Towards Understanding and Mit…Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets (2021)Stereotyping Norwegian Salmon…StereoSet: Measuring stereotypical bias in pretrained language models (2021)StereoSet: Measuring stereoty…Towards Debiasing Sentence Representations (2020)Towards Debiasing Sentence Re…Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation (2020)Queens are Powerful too: Miti…Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection (2020)Null It Out: Guarding Protect…Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Language (Technology) is Powe…CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models (2020)CrowS-Pairs: A Challenge Data…On Measuring Social Biases in Sentence Encoders (2019)On Measuring Social Biases in…Measuring Bias in Contextualized Word Representations (2019)Measuring Bias in Contextuali…Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings (2019)Black is to Criminal as Cauca…Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Fairness in Large Language Models: A Taxonomic Survey (2024)Fairness in Large Language Mo…A survey of recent methods for addressing AI fairness and bias in biomedicine (2024)A survey of recent methods fo…Unlearning Bias in Language Models by Partitioning Gradients (2023)Unlearning Bias in Language M…T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation (2023)T2IAT: Measuring Valence and …ROBBIE: Robust Bias Evaluation of Large Generative Language Models (2023)ROBBIE: Robust Bias Evaluatio…On Second Thought, Let’s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning (2023)On Second Thought, Let’s Not …Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions (2023)Language Models Get a Gender …Fairness in Language Models Beyond English: Gaps and Challenges (2023)Fairness in Language Models B…Fairness in Deep Learning: A Survey on Vision and Language Research (2023)Fairness in Deep Learning: A …Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning (2023)Causal-Debias: Unifying Debia…An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models (2023)An Empirical Analysis of Para…Speciesist bias in AI: how AI applications perpetuate discrimination and unfair outcomes against animals (2022)Speciesist bias in AI: how AI…MABEL: Attenuating Gender Bias using Textual Entailment Data (2022)MABEL: Attenuating Gender Bia…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)A Survey on Bias and Fairness in Machine Learning (2021)Measuring individual differences in implicit cognition: The implicit association test. (1998)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)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender bias and stereotypes in Large Language Models (2023)Word embeddings quantify 100 years of gender and ethnic stereotypes (2018)Gender Bias in Machine Translation (2021)Re-imagining Algorithmic Fairness in India and Beyond (2021)Measuring individual differences in implicit cognition: The implicit association test. (1998)Social Biases in NLP Models as Barriers for Persons with Disabilities (2020)Five sources of bias in natural language processing (2021)Large pre-trained language models contain human-like biases of what is right and wrong to do (2022)Equality of Opportunity in Supervised Learning (2016)Mitigating Unwanted Biases with Adversarial Learning (2018)Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies (2021)Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts (2022)Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models (2024)Math = male, me = female, therefore math ≠ me. (2002)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)Biases in Large Language Models: Origins, Inventory, and Discussion (2023)Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. (1992)Unsettling race and language: Toward a raciolinguistic perspective (2017)Algorithmic Bias in Education (2021)Towards a standard for identifying and managing bias in artificial intelligence (2022)Bias and Fairness in Large Language Models: A Survey (2024)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)
this work references cited by second hop

References

  • 2023Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics13,695 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2020Language (Technology) is Power: A Critical Survey of “Bias” in NLP1,044 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
  • 2019Measuring Bias in Contextualized Word Representations348 cited
  • 2020Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection286 cited
  • 2019Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings262 cited
  • 2020Towards Debiasing Sentence Representations154 cited
  • 2020Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation153 cited
  • 2021Towards Understanding and Mitigating Social Biases in Language Models153 cited
  • 2021Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets143 cited

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Cited by

  • 2024A survey of recent methods for addressing AI fairness and bias in biomedicine109 cited
  • 2022Speciesist bias in AI: how AI applications perpetuate discrimination and unfair outcomes against animals85 cited
  • 2023On Second Thought, Let’s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning76 cited
  • 2024Fairness in Large Language Models: A Taxonomic Survey60 cited
  • 2023Fairness in Deep Learning: A Survey on Vision and Language Research57 cited
  • 2023Unlearning Bias in Language Models by Partitioning Gradients45 cited
  • 2023Fairness in Language Models Beyond English: Gaps and Challenges37 cited
  • 2023Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning29 cited
  • 2023T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation26 cited
  • 2023Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions24 cited
  • 2023An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models24 cited
  • 2023ROBBIE: Robust Bias Evaluation of Large Generative Language Models21 cited
  • 2022MABEL: Attenuating Gender Bias using Textual Entailment Data20 cited