Papers by Ramya Srinivasan

1 papers
TFDP: Token-Efficient Disparity Audits for Autoregressive LLMs via Single-Token Masked Evaluation (2025.emnlp-main)

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Challenge: Existing methods for auditing autoregressive Large Language Models for disparities are limited and expensive.
Approach: They propose a method to detect disparities in autoregressive Large Language Models by token querying . they propose 'token-focused disparity probing' to measure disparities between sentence pairs .
Outcome: The proposed method detects disparities with 42 times fewer output tokens than previous methods.

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