A Hybrid Intelligence Framework for Personalized Career Guidance via LLMs and Reinforcement Learning
Employment guidance for college students often lacks personalization and real-time adaptability in dynamic labor markets. This study presents a hybrid computational intelligence framework that integrates large language models with deep reinforcement learning to support personalized career decision-making. The authors d...