Zhimin Zhao

ML evaluation harnesses, the unsung heroes of model development, are plagued by surprisingly mundane software engineering issues like missing documentation and unimplemented features, hindering reliable assessment.

AI systems are no longer just tools; they're becoming integrated parts of our minds.

Forget scaling laws: the real bottleneck for AI progress isn't model size, but whether a task's information structure makes it inherently learnable.