Do machine learning researchers solve something huge every time they hit the benchmark? If not, then why do we have these benchmarks? Benchmarks indeed guide researchers and their research objectives. But, if the benchmark is breached every couple of months then research objectives might become more about chasing benchmarks than solving bigger problems.

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Rethinking The Way We Benchmark Machine Learning Models
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