most citedLLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation

6 citations · 6 across the 2 of their papers we have counts for

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cs.LG2026

SafeImpute: Reliable Clinical Data Imputation via Conformal Selection

Xinrui He, Mengting Ai, Junting Wang +2

Clinical care often relies on key laboratory indicators, yet real-world patient visits are sparse and tests are ordered irregularly, leading to pervasive missingness. While many im…

cs.LG2024★ 6 cited

LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation

Xinrui He, Yikun Ban, Jiaru Zou +3

Missing data imputation is a critical challenge in various domains, such as healthcare and finance, where data completeness is vital for accurate analysis. Large language models (L…