mlsanityData to 14 Oct 2026

Tourist Guidance Robot Based on HyperCLOVA

arXiv 2210.10400 ↗First posted 19 Oct 2022cs.CLcited by 1

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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.

Key facts. Cited by 1 paper 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

2 of 6 references.

References · 2

  1. 2021What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformerscited by 76
  2. 2021Relaxing the Conditional Independence Assumption of CTC-based ASR by Conditioning on Intermediate Predictionscited by 61

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Cited by year

Citing papers per year: 2023: 1.

1 paper.

  1. 2023Developing Interactive Tourism Planning: A Dialogue Robot System Powered by a Large Language Modelcited by 0