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cs.SE2025
Quality Assessment of Tabular Data using Large Language Models and Code Generation
Ashlesha Akella, Akshar Kaul, Krishnasuri Narayanam +1
Reliable data quality is crucial for downstream analysis of tabular datasets, yet rule-based validation often struggles with inefficiency, human intervention, and high computationa…
cs.LG2025
Data Wrangling Task Automation Using Code-Generating Language Models
Ashlesha Akella, Krishnasuri Narayanam
Ensuring data quality in large tabular datasets is a critical challenge, typically addressed through data wrangling tasks. Traditional statistical methods, though efficient, cannot…