mlsanityData to 7 Oct 2026

Multi-User Chat Assistant (MUCA): a Framework Using LLMs to Facilitate Group Conversations

arXiv 2401.04883 ↗First posted 10 Jan 2024cs.CLcited by 13

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Abstract (arXiv)

Recent advancements in large language models (LLMs) have provided a new avenue for chatbot development. Most existing research, however, has primarily centered on single-user chatbots that determine "What" to answer. This paper highlights the complexity of multi-user chatbots, introducing the 3W design dimensions: "What" to say, "When" to respond, and "Who" to answer. Additionally, we proposed Multi-User Chat Assistant (MUCA), an LLM-based framework tailored for group discussions. MUCA consists of three main modules: Sub-topic Generator, Dialog Analyzer, and Conversational Strategies Arbitrator. These modules jointly determine suitable response contents, timings, and appropriate addressees. This paper further proposes an LLM-based Multi-User Simulator (MUS) to ease MUCA's optimization, enabling faster simulation of conversations between the chatbot and simulated users, and speeding up MUCA's early development. In goal-oriented conversations with a small to medium number of participants, MUCA demonstrates effectiveness in tasks like chiming in at appropriate timings, generating relevant content, and improving user engagement, as shown by case studies and user studies.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 40 of its 72 references that are in the map. First posted on arXiv 10 Jan 2024.

Builds on

40 of 72 references.

References · 40

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28 more
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Citing papers per year: 2024: 1; 2025: 7; 2026: 5.

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  1. 2025Agentic Large Language Models, a surveycited by 105
  2. 2026A Survey on LLM-based Conversational User Simulationcited by 14
  3. 2024WHoW: A Cross-domain Approach for Analysing Conversation Moderationcited by 3
  4. 2025How Social is It? A Benchmark for LLMs' Capabilities in Multi-user Multi-turn Social Agent Taskscited by 3
  5. 2025MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalfcited by 2
  6. 2025Humanlike Multi-user Agent (HUMA): Designing a Deceptively Human AI Facilitator for Group Chatscited by 2
  7. 2025MURMUR: Using cross-user chatter to break collaborative language agents in groupscited by 2
  8. 2025Point of Interest Recommendation: Pitfalls and Viable Solutionscited by 0
  9. 2025Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AIcited by 0
  10. 2026Choose Your Own Adventure: Non-Linear AI-Assisted Programming with EvoGraphcited by 0
  11. 2026DuIVRS-2: An LLM-based Interactive Voice Response System for Large-scale POI Attribute Acquisitioncited by 0
  12. 2026LaCache: Exact Caching and Precision-Adaptive Inference for Diffusion Large Language Modelscited by 0
1 more
  1. 2026Speak for Me: Giving LLMs the Situational Awareness to Participate in a Meetingcited by 0