LLM-Assisted Content Conditional Debiasing for Fair Text Embedding

Mitigating biases in machine learning models has become an increasing concern in Natural Language Processing (NLP), particularly in developing fair text embeddings, which are crucial yet challenging for real-world applications like search engines. In response, this paper proposes a novel method for...

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Hauptverfasser:	Deng, Wenlong, Chen, Blair, Zhao, Beidi, Zhang, Chiyu, Li, Xiaoxiao, Thrampoulidis, Christos
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Computers and Society Computer Science - Learning
Online-Zugang:	Volltext bestellen
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