# Tourist Guidance Robot Based on HyperCLOVA

arXiv: https://arxiv.org/abs/2210.10400 · HTML: https://mlsanity.com/paper/2210.10400/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 6 references that are in the map.
- First posted on arXiv 19 Oct 2022.

## Builds on (most cited first, 2 of 2)

- [What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers](https://mlsanity.com/paper/2109.04650/) (2021)
- [Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictions](https://mlsanity.com/paper/2104.02724/) (2021)

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

- [Developing Interactive Tourism Planning: A Dialogue Robot System Powered by a Large Language Model](https://mlsanity.com/paper/2312.13545/) (2023)

## Abstract (arXiv)

This paper describes our system submitted to Dialogue Robot Competition 2022. Our proposed system is a combined model of rule-based and generation-based dialog systems. The system utilizes HyperCLOVA, a Japanese foundation model, not only to generate responses but also summarization, search information, etc. We also used our original speech recognition system, which was fine-tuned for this dialog task. As a result, our system ranked second in the preliminary round and moved on to the finals.