MAAM is a model-agnostic framework that improves Chinese discriminatory language detection via anchor preservation and C-I-S contextual calibration, supported by a new 8,120-sample ChLGBT dataset.
arXiv preprint arXiv:2602.18450 , year=
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MAAM: Anchor-Preserving Compression and Contextual Calibration for Chinese Discriminatory Language Detection
MAAM is a model-agnostic framework that improves Chinese discriminatory language detection via anchor preservation and C-I-S contextual calibration, supported by a new 8,120-sample ChLGBT dataset.