GenFair generates diverse source test cases via equivalence partitioning, mutation, and boundary value analysis, then applies metamorphic relations and tone comparison to flag fairness faults, claiming higher fault detection rates than template-based and grammar-based baselines.
Evaluation of chinese natural language processing system based on metamorphic testing
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GenFair: Systematic Test Generation for Fairness Fault Detection in Large Language Models
GenFair generates diverse source test cases via equivalence partitioning, mutation, and boundary value analysis, then applies metamorphic relations and tone comparison to flag fairness faults, claiming higher fault detection rates than template-based and grammar-based baselines.