·research·reading
Pretrained Transformers as Universal Computation Engines
A study of frozen pretrained transformers as reusable computation engines across non-language sequence tasks.
This is a useful bridge between transformers as language models and transformers as general-purpose computational substrates. The interesting claim is not just that pretraining transfers, but that frozen language-pretrained structure can support numerical, vision, and protein tasks with relatively small task-specific adaptation.
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