Multi-User Chat Assistant (MUCA): a Framework Using LLMs to Facilitate Group Conversations
Authors: Manqing Mao, Pai-shun Ting, Yijian Xiang, Mingyang Xu, Julia Chen, Jianzhe Lin


Reviewer paper summaries: The paper presents two LLM-based frameworks for the multi-user chatting and chat simulation. Authors provide an extensive case study and user study for these frameworks and compare them with the baseline, namely GPT4.
Summary of strengths: I appreciate efforts that were put into this paper. I believe that the systems are quite efficient and very useful. A lot of work has been done and these frameworks are the nearly pioneering attempts in the field of multiparty dialogues based on the LLMs.
Summary of weaknesses: Unfortunately I have to follow the rules: the paper just does not fit into the format of the conference. Appendices here are actually the part of the paper. If we consider only the "main" part of the paper then it has to be rejected because a lot of key details are missing.
Comments, suggestions and typos: I appreciate the efforts and believe that the paper is really good. Unfortunately it has no chance as a conference paper according to to the format issue.
Overall assessment scores: 1