In this paper, we present CharacterGLM, a series of models built upon
ChatGLM, with model sizes ranging from 6B to 66B parameters. Our CharacterGLM
is designed for generating Character-based Dialogues (CharacterDial), which
aims to equip a conversational AI system with character customization for
satisfying people's inherent social desires and emotional needs. On top of
CharacterGLM, we can customize various AI characters or social agents by
configuring their attributes (identities, interests, viewpoints, experiences,
achievements, social relationships, etc.) and behaviors (linguistic features,
emotional expressions, interaction patterns, etc.). Our model outperforms most
mainstream close-source large langauge models, including the GPT series,
especially in terms of consistency, human-likeness, and engagement according to
manual evaluations. We will release our 6B version of CharacterGLM and a subset
of training data to facilitate further research development in the direction of
character-based dialogue generation.

我们介绍了一系列基于 ChatGLM 的模型，名为 CharacterGLM，模型包含从 6B 到 66B 个参数。我们的 CharacterGLM 旨在生成基于角色的对话（CharacterDial），以满足人们固有的社交需求和情感需求。通过配置他们的属性和行为，我们可以自定义各种 AI 角色或社交代理。根据人工评估，我们的模型在一致性、人类相似度和互动方面优于大多数主流的封闭源大型语言模型，包括 GPT 系列。我们将发布我们的 6B 版本的 CharacterGLM 和一部分训练数据，以促进基于角色的对话生成方向的进一步研究发展。

CharacterGLM：使用大型语言模型定制中文对话人物

CharacterGLM: Customizing Chinese Conversational AI Characters with  Large Language Models

This paper explores the intersection of Otome Culture and artificial
intelligence, particularly focusing on how Otome-oriented games fulfill the
emotional needs of young women. These games, which are deeply rooted in a
subcultural understanding of love, provide players with feelings of
satisfaction, companionship, and protection through carefully crafted narrative
structures and character development. With the proliferation of Large Language
Models (LLMs), there is an opportunity to transcend traditional static game
narratives and create dynamic, emotionally responsive interactions. We present
a case study of Tears of Themis, where we have integrated LLM technology to
enhance the interactive experience. Our approach involves augmenting existing
game narratives with a Question and Answer (QA) system, enriched through data
augmentation and emotional enhancement techniques, resulting in a chatbot that
offers realistic and supportive companionship.

该研究探讨了乙女文化和人工智能的交叉点，特别关注乙女导向游戏如何满足年轻女性的情感需求。这些游戏通过精心构建的叙事结构和角色发展，提供玩家满足感、陪伴感和保护感。通过整合大型语言模型（LLM）技术来增强互动体验，我们以《泪水之女神》为案例研究，将现有游戏叙事与问题 - 回答（QA）系统相结合，并通过数据增强和情感增强技术来丰富聊天机器人的功能，为玩家提供逼真且支持性的陪伴。