Papers by Bufan Gao

1 papers
Measuring Bias or Measuring the Task: Understanding the Brittle Nature of LLM Gender Biases (2025.emnlp-main)

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Challenge: a growing number of efforts to measure and mitigate gender bias have focused on task prompts that overtly or covertly signal the presence of gender bias-related content.
Approach: They examine how signaling the evaluative purpose of a task impacts measured gender bias in LLMs.
Outcome: The proposed models show that prompts that align with (gender bias) evaluation framing elicit distinct gender output distributions compared to less evaluation-framed prompts.

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