ROAIDec 21, 2023

Team Irisapu Project Description for DRC2023

arXiv:2312.13765v11 citationsh-index: 9
Originality Synthesis-oriented
AI Analysis

This is an incremental application of existing methods to a specific competition scenario.

The paper describes a dialog robot system for the DRC2023 competition that uses GPT-3 with scenario-based prompts and a recovery strategy for breakdowns, achieving third place in reliability of information despite a bug affecting overall results.

This paper describes the dialog robot system designed by Team Irisapu for the preliminary round of the Dialogue Robot Competition 2023 (DRC2023). In order to generate dialogue responses flexibly while adhering to predetermined scenarios, we attempted to generate dialogue response sentences using OpenAI's GPT-3. We aimed to create a system that can appropriately respond to users by dividing the dialogue scenario into five sub-scenarios, and creating prompts for each sub-scenario. Also, we incorporated a recovery strategy that can handle dialogue breakdowns flexibly. Our research group has been working on research related to dialogue breakdown detection, and we incorporated our findings to date in this competition. As a result of the preliminary round, a bug in our system affected the outcome and we were not able to achieve a satisfactory result. However, in the evaluation category of "reliability of provided information", we ranked third among all teams.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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