CoFE: Collaborative Feature Engineering via Semantically-Guided Exploration and Diagnostic-Driven Refinement
CoFE (Collaborative Feature Engineering) is proposed, a two-phase framework that tightly couples search-based exploration with LLM-driven reasoning and consistently outperforms state-of-the-art data-driven and LLM-based AutoFE methods on the majority of datasets, while offering favorable computational efficiency.