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Fair on the Surface? Benchmarking Hidden-Output Fairness Gaps in LLM Recommenders
表面公平未必真公平，揭秘大模型推荐器在隐藏输出层的公平性缺口，算法透明度的必修课。
arXiv:2608.08284v1 Announce Type: new Abstract: Fairness audits for LLM-based recommenders have largely focused on observable outputs, implicitly assu…