CONCLUSIONS
From the table data, it can be seen that the models that achieved high scores were consistent, not just lucky, but possessed strong capabilities.
From the overall benchmark results, I can conclude that to learn new things well, a model must also have a good understanding of context and data, so it can apply patterns correctly—not just applying patterns according to formulas, but also knowing when to switch patterns.