Papers by Shuvam Keshari

1 papers
From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings (2025.coling-main)

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Challenge: Existing work in this field has looked most commonly into gender bias, racial bias, and religious bias.
Approach: They propose an algorithm that uses a neural network to perform ‘soft debiasing’ and build on the seminal work of (CITATION) and (CitATION).
Outcome: The proposed algorithm outperforms current methods on gender, race, and religion metrics on a wide range of metrics.

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