Ekaterina A. Panova

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

Employee attrition is a high-cost, asymmetric decision problem plagued by data imbalance. To address this, we propose a leakage-aware, dual-network augmentation framework that integrates the semantic reasoning of Large Language Models (LLMs) with the distributional rigorousness of GAN discriminators. Specifically, we e...