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Constrained conditional LLM-based imputation via iterative chained updates
DOI:10.1016/j.patrec.2026.06.015.png)
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
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