2026
Human-LLM Collaborative Feature Engineering for Tabular Data
ICLR 2026poster
Large language models (LLMs) are increasingly used to automate feature engineering in tabular learning. Given task-specific information, LLMs can propose diverse feature transformation operations to enhance downstream model performance. However, current approaches typically assign the LLM as a black…