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.
Evolutionary large language model for automated feature transformation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
baseline 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
baseline 1polarities
baseline 1representative citing papers
citing papers explorer
-
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.