A router-selector-generator LLM agent team with offline PPO and dual memories unifies feature selection and generation, reporting improved downstream performance on six tabular datasets.
Neuro-symbolic embedding for short and effective feature selection via autoregressive generation.ACM Transactions on Intelligent Systems and Technology, 16(2):1–21, 2025
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Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories
A router-selector-generator LLM agent team with offline PPO and dual memories unifies feature selection and generation, reporting improved downstream performance on six tabular datasets.