A municipal clerk’s drafting tool still respects a definition that appeared two pages earlier when it writes the closing clause. What mechanism should the tester tie to that long-range coherence?
Select an answer to reveal the explanation.
Short Explanation
A drafting tool that still respects a definition two pages earlier is transformer self-attention, the usual backbone of large language models. That is how long-range context stays coherent. A GAN contest and a diffusion stack do not explain that closing clause.
Full Explanation
Transformers and LLMs use self-attention to keep distant context coherent. GAN and diffusion mechanics, and a conventional reprint, do not explain that long-range drafting behavior.