Notable AIINT arXiv cs.AI

MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Tabular Prediction

arXiv:2603.02221v3 Announce Type: replace-cross Abstract: In clinical tabular prediction, classical machine learning models with feature engineering often outperform neural methods. LLMs are increasingly used to automate this process, acting as…

Read the full story at arXiv cs.AI ↗

ImpactNotable 31/100
Why it mattersRule-based estimate: event keywords (+4); trust 6/10.
RegionsGlobal
Published4 h ago (Fri, 02 Oct 2026 04:00:00 GMT)
RetrievedFri, 02 Oct 2026 07:00:28 GMT via rss
ClassifiedFri, 02 Oct 2026 07:00:40 GMT by heuristic
AuthorZizheng Zhang, Yiming Li, Justin Xu, Jinyu Wang, Rui Wang, Lei Song, Jiang Bian, David W Eyre, Jingjing Fu