Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models | Paper Citation Record

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Supplementary materials for LLM Bias

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This paper cites Using Large Language Models for Qualitative Analysis can Introduce Serious Bias.

Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Using Large Language Models for Qualitative Analysis can Introduce Serious Bias

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This paper cites From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs.

Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs

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This paper cites Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell.

Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Gender, Age, and Technology Education Influence the Adoption and Appropriation of LLMs

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Hall, Yuriy Brun, and Cindy Xiong Bearfield

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Haimson, Aloe DeGuia, Rana Saber, and Kat Brewster

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Help Me Help the AI

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Gender Bias in LLM-generated Interview Responses

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Le Dantec and Sarah Fox

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Lee, Jacob M

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Vera Liao, Daniel Gruen, and Sarah Miller

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Measuring Human-Robot Trust with the MDMT (Multi-Dimensional Measure of Trust)

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Multimodal Composite Association Score: Measuring Gender Bias in Generative Multimodal Models

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Reducing Gender Bias in Abusive Language Detection

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Paul, and Jed R

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models The human body is a black box

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Unresolved cited work

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Unresolved cited work

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Wagman and Lisa Parks

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Kelly is a Warm Person, Joseph is a Role Model

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Ethical and social risks of harm from Language Models

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Herbsleb, Alexandra Holloway, and Scott Davidoff

Reference 68

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Unresolved cited work

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Unresolved cited work

Reference 70

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Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods

Reference 71

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This paper cites "The teachers are confused as well": A Multiple-Stakeholder Ethics Discussion on Large Language Models in Computing Education.

Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models "The teachers are confused as well": A Multiple-Stakeholder Ethics Discussion on Large Language Models in Computing Education

Reference 72

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This paper cites Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models.

Bias, Accuracy, and Trust: Gender-Diverse Perspectives on Large Language Models Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models

Reference 2024

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