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Toronto Metropolitan University
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Vision Mamba's accuracy can be significantly improved just by swapping out the default discretization method, with bilinear discretization offering the best balance of performance and efficiency.
End-to-end prompt optimization is often a waste of time and money, succeeding only when coaxing models into specific output formats they're already capable of.
Expert-written rules for coding agents are often useless or even harmful, with random constraints working just as well and negative constraints outperforming positive directives.