牛哥精选 · 三个月

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🤖 AI·大模型 arXiv AI 2026-06-10

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

LLM自动化特征工程新方法MedFeat，模型感知与可解释性驱动，提升临床表格预测性能。

arXiv:2603.02221v2 Announce Type: replace-cross Abstract: In clinical tabular prediction, classical machine learning models with feature engineering o…

llm 特征工程临床预测可解释性表格数据

📝 深度技术 arXiv NLP 2026-06-09

ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?

顶级医疗AI对决：LLM与SVM、XGBoost等传统模型在临床预测任务上谁更强？最新基准研究给出答案。

arXiv:2411.06469v2 Announce Type: replace Abstract: Large Language Models (LLMs) hold great promise to revolutionize current clinical systems for thei…

llm 临床预测传统机器学习 svm xgboost

📅 日期

2026-05-20 2026-05-19

🐂 牛哥精选

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

ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?

📅 日期