SocialLLM Conference Call for Papers, focusing on social reasoning and simulation applications of large language models

ME News Report, April 15 (UTC+8), recently, the SocialLLM Workshop has opened submissions, aiming to explore how generative agents driven by large language models can simulate, analyze, and investigate social behaviors in online and network environments. The workshop particularly focuses on research that combines micro-level language interactions with macro-level social phenomena and encourages critical examination of the applicability, evaluation, and interpretation of LLM-based social simulations. The call for papers covers empirical, methodological, theoretical, and conceptual research, with topics including LLM-based agent social simulation, norm formation, character fidelity, platform scenario simulation, intervention experiments, empirical foundations, and ethical impacts. Submission types include long papers (up to 8 pages), short/poster papers (up to 4 pages), and abstracts/demonstration papers (up to 2 pages). According to the original information, submissions closed on April 1, 2026, with notification on April 15, 2026, and the workshop will be held on May 26, 2026. One of the keynote speakers is Assistant Professor Zhijing Jin from the University of Toronto and the Max Planck Institute, who will give a talk on “Testing and Improving LLM Collaboration through Multi-Agent Simulation.” (Source: InFoQ)