[2603.05240] GCAgent: Enhancing Group Chat Communication through Dialogue Agents System

Computer Science > Artificial Intelligence arXiv:2603.05240 (cs) [Submitted on 5 Mar 2026] Title:GCAgent: Enhancing Group Chat Communication through Dialogue Agents System Authors:Zijie Meng, Zheyong Xie, Zheyu Ye, Chonggang Lu, Zuozhu Liu, Zihan Niu, Yao Hu, Shaosheng Cao View a PDF of the paper titled GCAgent: Enhancing Group Chat Communication through Dialogue Agents System, by Zijie Meng and 7 other authors View PDF HTML (experimental) Abstract:As a key form in online social platforms, group chat is a popular space for interest exchange or problem-solving, but its effectiveness is often hindered by inactivity and management challenges. While recent large language models (LLMs) have powered impressive one-to-one conversational agents, their seamlessly integration into multi-participant conversations remains unexplored. To address this gap, we introduce GCAgent, an LLM-driven system for enhancing group chats communication with both entertainment- and utility-oriented dialogue agents. The system comprises three tightly integrated modules: Agent Builder, which customizes agents to align with users' interests; Dialogue Manager, which coordinates dialogue states and manage agent invocations; and Interface Plugins, which reduce interaction barriers by three distinct tools. Through extensive experiment, GCAgent achieved an average score of 4.68 across various criteria and was preferred in 51.04\% of cases compared to its base model. Additionally, in real-world deployments over...