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Mitigating Large Language Model Bias: Automated Dataset Augmentation and Prejudice Quantification
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Mitigating Large Language Model Bias: Automated Dataset Augmentation and Prejudice Quantification (2024)Mitigating Large Language Model Bias: Aut…A Trip Towards Fairness: Bias and De-Biasing in Large Language Models (2024)A Trip Towards Fairness: Bias…KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications (2023)KoSBI: A Dataset for Mitigati…Biases in Large Language Models: Origins, Inventory, and Discussion (2023)Biases in Large Language Mode…Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts (2022)Auto-Debias: Debiasing Masked…StereoSet: Measuring stereotypical bias in pretrained language models (2021)StereoSet: Measuring stereoty…Five sources of bias in natural language processing (2021)Five sources of bias in natur…Measuring and Mitigating Unintended Bias in Text Classification (2018)Measuring and Mitigating Unin…Certifying and Removing Disparate Impact (2015)Equality of Opportunity in Supervised Learning (2016)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Model Cards for Model Reporting (2019)Bias and Fairness in Large Language Models: A Survey (2024)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)RoBERTa: A Robustly Optimized BERT Pretraining Approach (2019)On the Opportunities and Risks of Foundation Models (2021)Availability: A heuristic for judging frequency and probability (1973)The weirdest people in the world? (2010)WEIRD languages have misled us, too [Comment on Henrich et al.] (2010)Towards a standard for identifying and managing bias in artificial intelligence (2022)Should ChatGPT be biased? Challenges and risks of bias in large language models (2023)Semantics derived automatically from language corpora contain human-like biases (2017)Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)Survey on Machine Learning Biases and Mitigation Techniques (2023)Fairness in Large Language Models: A Taxonomic Survey (2024)Dissecting racial bias in an algorithm used to manage the health of populations (2019)More human than human: measuring ChatGPT political bias (2023)Cultural bias and cultural alignment of large language models (2024)Delving into LLM-assisted writing in biomedical publications through excess vocabulary (2025)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Constitutional AI: Harmlessness from AI Feedback (2022)Layered Bias: Interpreting Bias in Pretrained Large Language Models (2023)Debiasing large language models: research opportunities* (2024)
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References

  • 2021StereoSet: Measuring stereotypical bias in pretrained language models773 cited
  • 2018Measuring and Mitigating Unintended Bias in Text Classification668 cited
  • 2023Biases in Large Language Models: Origins, Inventory, and Discussion382 cited
  • 2021Five sources of bias in natural language processing298 cited
  • 2022Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts119 cited
  • 2024A Trip Towards Fairness: Bias and De-Biasing in Large Language Models20 cited
  • 2023KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications15 cited

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