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News/Investigating Social Bias Changes in Quantized Language Models
arxiv
PublishedSeptember 1, 2026 at 4:00 AM
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Investigating Social Bias Changes in Quantized Language Models

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arXiv:2602.06181v2 Announce Type: replace Abstract: Post-training quantization reduces the memory needed to run large language models but alters their social biases in ways that aggregate metrics fail to capture. We present the first large-scale study of 50 quantized models evaluated on PostTraining

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