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Research PaperResearchia:202610.26007

The Language of Instruction: Genre and Generative AI

James E. Dobson

Abstract

This article argues that instruction-fine-tuned language models should be understood as implementing a genre, what is proposed as the instructional-conversational genre. This genre is an amalgamation of discursive language from prior conversations between generative models and humans recursively run through these massive neural networks. It is instantiated in applications through instruction fine-tuning, the inclusion of a pretext known as a system prompt, and the formalization of inputs in mark...

Submitted: October 26, 2026Subjects: NLP; Computational Linguistics

Description / Details

This article argues that instruction-fine-tuned language models should be understood as implementing a genre, what is proposed as the instructional-conversational genre. This genre is an amalgamation of discursive language from prior conversations between generative models and humans recursively run through these massive neural networks. It is instantiated in applications through instruction fine-tuning, the inclusion of a pretext known as a system prompt, and the formalization of inputs in mark-up languages characterized by the use of special tokens and role assignment in turntaking structures.


Source: arXiv:2610.32982v1 - http://arxiv.org/abs/2610.32982v1 PDF: https://arxiv.org/pdf/2610.32982v1 Original Link: http://arxiv.org/abs/2610.32982v1

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Submission Info
Date:
Oct 26, 2026
Topic:
Computational Linguistics
Area:
NLP
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