TableQuest evaluates LLMs on table tasks embedded in real 10-K reports and finds that current models handle extraction but struggle with multi-step reasoning, though the evaluation has a self-judging bias.
Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs
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Benchmarking Table Comprehension In The Wild
TableQuest evaluates LLMs on table tasks embedded in real 10-K reports and finds that current models handle extraction but struggle with multi-step reasoning, though the evaluation has a self-judging bias.