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Constrained conditional LLM-based imputation via iterative chained updates

delete2026-06-19
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OA
AI
A
Andrea F. Abate
L
Lucia Cascone *
V
Valeria Fraenza
M
Michele Nappi
P
Pierluigi Ritrovato
DOI:10.1016/j.patrec.2026.06.015delete
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Abstract

Abstract

En 中文
• Novel chained LLM-based framework for tabular data imputation. • Clinical LLM backbone selected via intrinsic validation protocol. • LoRA-based backbone adaptation for diabetic binary classification. • Controlled experiments under different missingness mechanisms. • Language influences LLM-based structured imputation behavior.
Keywords:
Large language models
Data imputation
Iterative chained updates
Conditional inference
Biomedical data

Journal

Pattern Recognition Letters cover
Pattern Recognition Letters
IF:
3.3
Papers:
8.0K
Citations:
1.6W

Organization

U
university of salerno
Scholars:
2.5K
Papers: 971
Citations: 0
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