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That paper doesn't do it
It's a review of a whole area of research trying to do it with various levels of success. Fine tuning is still the best way of altering style AFAIK, but all this is insofar as we mean the same thing by "it". But it seems clearly we don't. So what is "it" (prose style) exactly if not text structure, sentiment, vocabulary, etc?
What's the quality you're looking for that's not described in this review?
You claimed:
The paper does not demonstrate prompting a model, showing that with that prompt the writing is decent, and does not share such a prompt.
Fair enough, you want specifically prompts, here you are: https://github.com/blader/humanizer
In my experience fine tuning or specifically trained rewriting models work a lot better and fine tuning especially if you want to style copy a specific author. Mere prompting is not as good as that. But I still rate it as decent.
You made claims about prompts not me. Now I'm only asking you to back them up.
But you even look at the stuff you send me? This isn't a prompt, it's an agentic workflow. And this doesn't make the ai write differently it instructs the ai to modify already existing text.
But nitpicks aside, the results from something like this aren't even good, they're just plain bad. From your posting I assume you never tried it so I suggest you do that and experience the most soulless slop writing ever.
People keep saying this but never share the loras
https://github.com/cauchy221/StyleTunedLM takes like two hours to build on a local GPU and uses public datasets. Being lazy is a choice.
Stop wasting my time sending stuff you haven't even read or tried yourself.
Believe whatever you want to believe.
Are you claiming you read the paper or used the model in the link you sent?
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