Multimodal benchmarks should undergo blind filtering by default, researcher argues
cwolferesearch · x · 2026-11-04
Responding to a discussion with Hamel Husain, AI evaluation researcher cwolferesearch argues that all multimodal benchmarks really need to undergo blind filtering by default — pointing at widespread test contamination that inflates multimodal model scores, and proposing blind filtering as a standard rather than optional step in benchmark construction.
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