# CultureVo: The Serious Game of Utilizing Gen AI for Enhancing Cultural Intelligence

arXiv: https://arxiv.org/abs/2407.20685 · HTML: https://mlsanity.com/paper/2407.20685/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 12 references that are in the map.
- First posted on arXiv 30 Jul 2024.

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

- [Evaluating the Efficacy of Open-Source LLMs in Enterprise-Specific RAG Systems: A Comparative Study of Performance and Scalability](https://mlsanity.com/paper/2406.11424/) (2024)
- [Keyword Augmented Retrieval: Novel framework for Information Retrieval integrated with speech interface](https://mlsanity.com/paper/2310.04205/) (2023)
- [Introducing a new hyper-parameter for RAG: Context Window Utilization](https://mlsanity.com/paper/2407.19794/) (2024)

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

- [KnowsLM: A framework for evaluation of small language models for knowledge augmentation and humanised conversations](https://mlsanity.com/paper/2504.04569/) (2025)

## Abstract (arXiv)

CultureVo, Inc. has developed the Integrated Culture Learning Suite (ICLS) to deliver foundational knowledge of world cultures through a combination of interactive lessons and gamified experiences. This paper explores how Generative AI powered by open source Large Langauge Models are utilized within the ICLS to enhance cultural intelligence. The suite employs Generative AI techniques to automate the assessment of learner knowledge, analyze behavioral patterns, and manage interactions with non-player characters using real time learner assessment. Additionally, ICLS provides contextual hint and recommend course content by assessing learner proficiency, while Generative AI facilitates the automated creation and validation of educational content.