Papers by Md. Shovon

1 papers
Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models (2024.findings-acl)

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Challenge: Recent advances in language generation models can be used to assist users in a variety of tasks, but there are risks associated with introducing LLM biases into consequential decisions.
Approach: They propose to use a template-generated dataset to measure subtler correlated decisions that LLMs make between social groups and unrelated positive and negative attributes.
Outcome: The proposed model can be used to evaluate progress in more generalized biases and extend the benchmark with minimal human annotation.

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