TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models
This paper proposes a taxonomy to systematically measure both shallow table understanding abilities and deep table reasoning abilities, and designs an evaluation framework to robustly measure table reasoning capabilities with three distinct inference modes.