HonkaiChat: Companions from Anime that feel alive!

Yueze Liu, Yichi Zhang, Shaan Om Patel, Zhaoyang Zhu, Shilong Guo
1/5/2025
cs.CL

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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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Cite this paper

@article{liu2025honkaichat,
  title  = {HonkaiChat: Companions from Anime that feel alive!},
  author = {Yueze Liu and Yichi Zhang and Shaan Om Patel and Zhaoyang Zhu and Shilong Guo},
  year   = {2025},
  eprint = {2501.03277},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2501.03277v1}
}

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