Ashutosh Kumar Singh

From Tables to Quantified Statements: Evaluating LLM Inference Generation through Executable Verification

This work introduces STAT-TO-TEXT, a controlled task in which LLMs generate quantified natural language inferences from statistical tables using quantified constructions such as all, some, no, and most, and uses an LLM generated Python checker code to evaluate these inferences.