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20242026
most citedMedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabular Prediction

1 citations · 1 across the 8 of their papers we have counts for

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cs.CL2025

PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation

Jinyu Wang, Jingjing Fu, Rui Wang +2

Despite notable advancements in Retrieval-Augmented Generation (RAG) systems that expand large language model (LLM) capabilities through external retrieval, these systems often str…

cs.CL2024

Graph Neural Network Enhanced Retrieval for Question Answering of LLMs

Zijian Li, Qingyan Guo, Jiawei Shao +4

Retrieval augmented generation has revolutionized large language model (LLM) outputs by providing factual supports. Nevertheless, it struggles to capture all the necessary knowledg…