Researchers in Computer Science and Engineering at the University of Michigan have developed MMTU, a new benchmark designed to comprehensively evaluate large language models (LLMs) in tabular data analysis. Unlike existing evaluations, which often miss key table-related tasks, MMTU includes challenges such as schema matching and column transformation. Read more about how this tool advances the real-world performance and reliability of LLMs in data processing.
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