SocialBench: Sociality Evaluation of Role-Playing Conversational Agents
On the map: LLM agents and tool use → Social simulation and multi-agent debate
Abstract (arXiv)
Large language models (LLMs) have advanced the development of various AI conversational agents, including role-playing conversational agents that mimic diverse characters and human behaviors. While prior research has predominantly focused on enhancing the conversational capability, role-specific knowledge, and stylistic attributes of these agents, there has been a noticeable gap in assessing their social intelligence. In this paper, we introduce SocialBench, the first benchmark designed to systematically evaluate the sociality of role-playing conversational agents at both individual and group levels of social interactions. The benchmark is constructed from a variety of sources and covers a wide range of 500 characters and over 6,000 question prompts and 30,800 multi-turn role-playing utterances. We conduct comprehensive evaluations on this benchmark using mainstream open-source and closed-source LLMs. We find that agents excelling in individual level does not imply their proficiency in group level. Moreover, the behavior of individuals may drift as a result of the influence exerted by other agents within the group. Experimental results on SocialBench confirm its significance as a testbed for assessing the social interaction of role-playing conversational agents. The benchmark is publicly accessible at https://github.com/X-PLUG/SocialBench.
Key facts. Cited by 48 papers in the map (data through 7 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 15 of its 31 references that are in the map. First posted on arXiv 20 Mar 2024.
Builds on
15 of 31 references.
Closest ancestors · 3
Same direction, newest first
- 2024CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation2 Jan
- 2023Do LLM Agents Exhibit Social Behavior?23 Dec
- 2023Character-LLM: A Trainable Agent for Role-Playing16 Oct
Other references · 12
- 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
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- 2023SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agentscited by 350
- 2023Exploring Large Language Models for Communication Games: An Empirical Study on Werewolfcited by 238
- 2023S3: Social-network Simulation System with Large Language Model-Empowered Agentscited by 228
- 2018EmotionLines: An Emotion Corpus of Multi-Party Conversationscited by 80
- 2023CharacterChat: Learning towards Conversational AI with Personalized Social Supportcited by 58
- 2022CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AIcited by 25
- 2023ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Humancited by 14
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Citing papers per year: 2024: 8; 2025: 23; 2026: 17.
48 papers.
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