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Results show that resume-screening evaluations should assess not only whether a system identifies stronger candidates, but also whether those decisions remain stable when the same competence evidence is presented differently, and whether those decisions remain stable when the same competence evidence is presented differently.
No existing controllable video generation model excels in both visual fidelity and inherent reactivity, revealing a fundamental limitation in current benchmarks.
