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The Voice Behind the Words: Quantifying Intersectional Bias in SpeechLLMs
最新研究量化了语音LLM中的交叉偏见，揭示声音特征与种族、性别等多重因素的交互影响，为AI公平性提供关键评估方法。
arXiv:2603.16941v2 Announce Type: replace-cross Abstract: Speech Large Language Models (SpeechLLMs) process spoken input directly, retaining cues such…