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.

翻译：本文提出CharacterGLM系列模型，该系列基于ChatGLM构建，参数量从6B到66B不等。CharacterGLM专为生成基于角色的对话（CharacterDial）而设计，旨在赋予会话式AI系统角色定制能力，以满足人类固有的社交欲望与情感需求。基于CharacterGLM，我们可通过配置角色的属性（身份、兴趣、观点、经历、成就、社会关系等）与行为（语言特征、情感表达、交互模式等）来定制各类AI角色或社交智能体。人工评估表明，我们的模型在一致性、拟人性和参与度方面优于包括GPT系列在内的多数主流闭源大语言模型。为促进基于角色的对话生成领域的进一步发展，我们将开源CharacterGLM的6B版本及部分训练数据。