slidesqaqa

Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

slidesqaqa is a Flask-based application that uses document extraction and multimodal LLM inference to analyze PDF presentation slides and generate hierarchical topics, slide-role classifications, learning goals, and context-aware comprehension questions.

Components

Claims

• Multimodal LLMs outperform the OCR-based pipeline on visually dense slides, while the OCR pipeline produces comparable instruction on text-centric slides [+W]
• The OCR-based text input uses far fewer tokens than image-based multimodal input for the same slide, making it more cost-effective [+W]

Related Products and Programmes

• Stakeholder-facing web application for real-time text complexity and curriculum alignment analysis

Key Sources

• Salsman, J. (2026). Slide Deck Q&A Quality Assurance App: A Multi-Stage Pipeline for Pedagogical Question Generation. https://arxiv.org/abs/2605.26428. doi:10.48550/arxiv.2605.26428

Page metadata

Field	Value
type	product
id	slidesqaqa
title	slidesqaqa
description	slidesqaqa is a Flask-based application that uses document extraction and multimodal LLM inference to analyze PDF presentation slides and generate hierarchical topics, slide-role classifications, learning goals, and context-aware comprehension questions.
status	review
product_kind	software
generated	by process:settle-candidates on 2026-10-11
trust	unverified — no one has confirmed this page's content

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