Ekaterina A. Panova

Leakage-Aware LLM Augmentation for Attrition Prediction: A DecisionCentric Evaluation

A leakage-aware, dual-network augmentation framework that integrates the semantic reasoning of Large Language Models with the distributional rigorousness of GAN discriminators is proposed, offering HR practitioners a robust, decision-centric tool to identify at-risk employees without sacrificing transparency.