Prompt bias lessons derived from an LLM's own error explanations improve its clone detection F1 score by up to 10.81% on two benchmarks.
Black box fairness testing of machine learning models,
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From Bias To Improved Prompts: A Case Study of Bias Mitigation of Clone Detection Models
Prompt bias lessons derived from an LLM's own error explanations improve its clone detection F1 score by up to 10.81% on two benchmarks.