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arXiv · 2501.03277

HonkaiChat: Companions from Anime that feel alive!

Yueze Liu·Yichi Zhang·Shaan Om Patel·Zhaoyang Zhu·Shilong Guo
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Abstract

Modern conversational agents, including anime-themed chatbots, are frequently reactive and personality-driven but fail to capture the dynamic nature of human interactions. We propose an event-driven dialogue framework to address these limitations by embedding dynamic events in conversation prompts and fine-tuning models on character-specific data. Evaluations on GPT-4 and comparisons with industry-leading baselines demonstrate that event-driven prompts significantly improve conversational engagement and naturalness while reducing hallucinations. This paper explores the application of this approach in creating lifelike chatbot interactions within the context of Honkai: Star Rail, showcasing the potential for dynamic event-based systems to transform role-playing and interactive dialogue.

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Yueze Liu, Yichi Zhang, Shaan Om Patel, Zhaoyang Zhu, Shilong Guo. 2025-01-05. HonkaiChat: Companions from Anime that feel alive!. https://arxiv.org/abs/2501.03277

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