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cs.CL2025
What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization
Sahil Manchanda, Pannaga Shivaswamy
Text-embedding models often exhibit biases arising from the data on which they are trained. In this paper, we examine a hitherto unexplored bias in text-embeddings: bias arising fr…
cs.CL2017★ 1 cited
Representation learning of drug and disease terms for drug repositioning
Sahil Manchanda, Ashish Anand
Drug repositioning (DR) refers to identification of novel indications for the approved drugs. The requirement of huge investment of time as well as money and risk of failure in cli…