I think they meant relative to the best other approach, which is Reducto’s given that they are the creators of the benchmark:
Reducto's own model currently outperforms Gemini Flash 2.0 on this benchmark (0.90 vs 0.84). However, as we review the lower-performing examples, most discrepancies turn out to be minor structural variations that would not materially affect an LLM’s understanding of the table.
Reducto's own model currently outperforms Gemini Flash 2.0 on this benchmark (0.90 vs 0.84). However, as we review the lower-performing examples, most discrepancies turn out to be minor structural variations that would not materially affect an LLM’s understanding of the table.