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title: BERT is just a Single Text Diffusion Step | daily.dev
description: Explores how BERT's masked language modeling is fundamentally a single-step text diffusion process. The author demonstrates this by fine-tuning RoBERTa with...
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og:description: Explores how BERT's masked language modeling is fundamentally a single-step text diffusion process. The author demonstrates this by fine-tuning RoBERTa with...
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# BERT is just a Single Text Diffusion Step

**[Hacker News](https://daily.dev/sources/hn)** · 9 min read · 0 upvotes · 0 comments

## Summary

Explores how BERT's masked language modeling is fundamentally a single-step text diffusion process. The author demonstrates this by fine-tuning RoBERTa with variable masking rates to perform text generation through iterative denoising, similar to Google DeepMind's Gemini Diffusion. The proof-of-concept implementation trains on WikiText for 30 minutes and produces surprisingly coherent text, validating that encoder-only models can be repurposed for generation by treating them as discrete diffusion models with multiple masking intensities.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://nathan.rs/posts/roberta-diffusion/>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#deep-learning](https://daily.dev/tags/deep-learning), [#nlp](https://daily.dev/tags/nlp), [#transformers](https://daily.dev/tags/transformers), [#bert](https://daily.dev/tags/bert)

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