- Utilizing cutting-edge generative AI in the LLM field -

Our AI research team's paper, "Super RAG: Improving RAG performance with layout-aware graph modeling," has been accepted for presentation in the Industry Track category at NAACL 2025 (North American Chapter of the Association for Computational Linguistics), the top international conference on natural language processing (NLP) and computational linguistics, to be held April 29-May 4 in Albuquerque, USA.

The accepted paper demonstrates how the layout-aware graph modeling technology implemented in our original RAG system, "Super RAG," contributes to improving the performance of the RAG system, with the following key points:

Layout-Aware Graph Modeling (LAGM): Improve the information retrieval accuracy of RAG by introducing a graph structure that maintains document layout and using full-text and vector searches

・ Integrated RAG Pipeline: A combination of advanced technologies improves the effectiveness and accuracy of search expansion generation

・ User Experience: Provide an interactive system that allows users to experience the Super RAG approach

In recent years, the Industry Track of NAACL 2025 encourages submission of papers on innovation and implementation of applications, from prototypes to practical systems, in the field of speech and natural language processing, against the backdrop of rapid developments in generative AI and large-scale language models (LLMs). Our paper was accepted in this category.

■ Related pages
NAACL 2025: https://2025.naacl.org
Cinnamon AI research team paper "Super RAG: Improving RAG performance with layout-aware graph modeling": https://arxiv.org/abs/2503.04790
Cinnamon AI "Super RAG": https://cinnamon.ai/ai_model/super-rag/
Download Cinnamon AI "Super RAG" materials: https://contents.cinnamon.ai/download/wp_superrag_dl_lp