# Automatic Teaching Platform on Vision Language Retrieval Augmented Generation

arXiv: https://arxiv.org/abs/2503.05464 · HTML: https://mlsanity.com/paper/2503.05464/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Placed in Multimodal RAG, one of 15 directions in Retrieval-augmented generation.
- Builds on 3 of its 42 references that are in the map.
- First posted on arXiv 7 Mar 2025.

## Placed in

- Retrieval-augmented generation / [Multimodal RAG](https://mlsanity.com/rag/multimodal-rag/)

## Builds on (most cited first, 3 of 3)

- [VQA: Visual Question Answering](https://mlsanity.com/paper/1505.00468/) (2015)
- [StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models](https://mlsanity.com/paper/2306.07691/) (2023)
- [SparrowVQE: Visual Question Explanation for Course Content Understanding](https://mlsanity.com/paper/2411.07516/) (2024)

## Built on by (most cited first, 1 of 1)

- [Automated Generation of Curriculum-Aligned Multiple-Choice Questions for Malaysian Secondary Mathematics Using Generative AI](https://mlsanity.com/paper/2508.04442/) (2025)

## Abstract (arXiv)

Automating teaching presents unique challenges, as replicating human interaction and adaptability is complex. Automated systems cannot often provide nuanced, real-time feedback that aligns with students' individual learning paces or comprehension levels, which can hinder effective support for diverse needs. This is especially challenging in fields where abstract concepts require adaptive explanations. In this paper, we propose a vision language retrieval augmented generation (named VL-RAG) system that has the potential to bridge this gap by delivering contextually relevant, visually enriched responses that can enhance comprehension. By leveraging a database of tailored answers and images, the VL-RAG system can dynamically retrieve information aligned with specific questions, creating a more interactive and engaging experience that fosters deeper understanding and active student participation. It allows students to explore concepts visually and verbally, promoting deeper understanding and reducing the need for constant human oversight while maintaining flexibility to expand across different subjects and course material.