Papers by Sai Suresh Macharla Vasu

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Challenge:	Existing studies show that large language models carry implicit biases across race, gender, and religion . prior studies documented such biase based on text generation and classification tasks .
Approach:	They investigate bias in large language models by controlling metadata on author metadata . authors found affiliation bias favoring authors from highly ranked institutions .
Outcome:	The proposed model favors authors from highly ranked institutions, the authors show . the model also favors author affiliations from highly-ranked institutions .