The fairness collapse phenomenon: bias amplification in language models trained on synthetic data
Read the original at arxiv.org→arXiv:2608.04268v1 Announce Type: new Abstract: Generative models trained on artificially generated data have been shown to exhibit model collapse, resulting in significant performance degradation. As synthetic...
Original headline: "The Fairness Collapse Phenomenon: Bias Amplification in Language Models Trained on Synthetic Data"
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- Aug 6, 04:00 UTC arXiv cs.CL lead source The Fairness Collapse Phenomenon: Bias Amplification in Language Models Trained on Synthetic Data