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Srishti Gautam

2 accepted papers

2024

Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications

NAACL 2024long

Recent literature has suggested the potential of using large language models (LLMs) to make classifications for tabular tasks. However, LLMs have been shown to exhibit harmful social biases that reflect the stereotypes and inequalities present in society. To this end, as well as the widespread use o…

Cited by 12SourcePDFScholar
2022

ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model

NeurIPS 2022accept

The need for interpretable models has fostered the development of self-explainable classifiers. Prior approaches are either based on multi-stage optimization schemes, impacting the predictive performance of the model, or produce explanations that are not transparent, trustworthy or do not capture th…