A Human-in/on-the-Loop Framework for Accessible Text Generation

Lourdes Moreno; Paloma Martínez

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arXiv · 2603.18879

A Human-in/on-the-Loop Framework for Accessible Text Generation

Lourdes Moreno·Paloma Martínez

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Abstract

Plain Language and Easy-to-Read formats in text simplification are essential for cognitive accessibility. Yet current automatic simplification and evaluation pipelines remain largely automated, metric-driven, and fail to reflect user comprehension or normative standards. This paper introduces a hybrid framework that explicitly integrates human participation into LLM-based accessible text generation. Human-in-the-Loop (HiTL) contributions guide adjustments during generation, while Human-on-the-Loop (HoTL) supervision ensures systematic post-generation review. Empirical evidence from user studies and annotated resources is operationalized into (i) checklists aligned with standards, (ii) Event-Condition-Action trigger rules for activating expert oversight, and (iii) accessibility Key Performance Indicators (KPIs). The framework shows how human-centered mechanisms can be encoded for evaluation and reused to provide structured feedback that improves model adaptation. By embedding the human role in both generation and supervision, it establishes a traceable, reproducible, and auditable process for creating and evaluating accessible texts. In doing so, it integrates explainability and ethical accountability as core design principles, contributing to more transparent and inclusive NLP systems.

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Lourdes Moreno, Paloma Martínez. 2026-03-19. A Human-in/on-the-Loop Framework for Accessible Text Generation. https://arxiv.org/abs/2603.18879

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