Text-embedding models are biased by names, and removing names before embedding improves semantic similarity judgments on two evaluation tasks.
He was eager to have a glass of cold drink
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What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization
Text-embedding models are biased by names, and removing names before embedding improves semantic similarity judgments on two evaluation tasks.