Judging the LLM Judges: A Human-Centric Validation of LLM-Generated Training Data for Software Retrieval
A lightweight quality-assessment protocol is presented for LLM-generated synthetic training data and applied to 13,579 synthetic user reviews generated from GitHub issues across four open-source Android applications, high-lighting the need for hybrid human-AI verification when synthetic data is used in security-critica...