TLRD

TLRD: Teaching LLMs to Reason over Tabular Data with Tri-Level Rationale Distillation

Announce Type: new Abstract: Tabular data is a primary medium for storing real-world information, driving many industrial applications of machine learning. Traditional predictors achieve strong predictive performance but do not provide readable, case-specific explanations essential for decision-making. Large Language Models (LLMs) can naturally bridge this gap by generating predictions alongside explanations.