Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception

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Demographic-aware language model fine-tuning as a bias mitigation technique

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Debiasing pre-trained language models via efficient fine-tuning

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Gender biases and where to find them: Exploring gender bias in pre-trained transformer-based language models using movement pruning

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Politics: pretraining with same-story article comparison for ideology prediction and stance detection

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Perturbation augmentation for fairer nlp

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“i’m sorry to hear that”: Finding new biases in language models with a holistic descriptor dataset

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Text style transfer for bias mitigation using masked language modeling

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Using artificial French data to understand the emergence of gender bias in transformer language models

The political biases of chatgpt

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The silence of the llms: Cross-lingual analysis of political bias and false information prevalence in chatgpt, google bard, and bing chat

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Nationality bias in text generation

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Pranav Narayanan Venkit, Sanjana Gautam, Ruchi Panchanadikar, Ting-Hao’Kenneth’ Huang, and Shomir Wilson. 2023 · 2023

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Unraveling downstream gender bias from large language models: A study on AI educational writing assistance

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A causal view of entity bias in (large) language models

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Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, and Muhao Chen. 2023 · 2023