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New "50%" ARC result and current winners interviewed

Machine Learning Street Talk (MLST)

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Exploring the Dynamics of Machine Learning Benchmarks

This chapter explores the intricacies of assessing machine learning benchmarks, highlighting the issues associated with gameable metrics. It emphasizes the importance of a dynamic benchmarking system that adapts to new insights from task evaluations.

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