mlsanityData to 7 Oct 2026

FurChat: An Embodied Conversational Agent using LLMs, Combining Open and Closed-Domain Dialogue with Facial Expressions

arXiv 2308.15214 ↗First posted 29 Aug 2023cs.CL cs.AI cs.HCcited by 1

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

We demonstrate an embodied conversational agent that can function as a receptionist and generate a mixture of open and closed-domain dialogue along with facial expressions, by using a large language model (LLM) to develop an engaging conversation. We deployed the system onto a Furhat robot, which is highly expressive and capable of using both verbal and nonverbal cues during interaction. The system was designed specifically for the National Robotarium to interact with visitors through natural conversations, providing them with information about the facilities, research, news, upcoming events, etc. The system utilises the state-of-the-art GPT-3.5 model to generate such information along with domain-general conversations and facial expressions based on prompt engineering.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 3 of its 14 references that are in the map. First posted on arXiv 29 Aug 2023.

Builds on

3 of 14 references.

References · 3

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2023Geotechnical Parrot Tales (GPT): Harnessing Large Language Models in geotechnical engineeringcited by 4
  3. 2023The Application of Affective Measures in Text-based Emotion Aware Recommender Systemscited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026A Modern System Recipe for Situated Embodied Human-Robot Conversation with Real-Time Multimodal LLMs and Tool-Callingcited by 1

Similar, not cited

Close in wording, no citation either way

  1. 2024LLM-Mediated Domain-Specific Voice Agents: The Case of TextileBot
  2. 2024Simulating User Agents for Embodied Conversational-AI
  3. 2023Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
  4. 2024GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task Assistants
  5. 2025SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation
  6. 2024Generative Expressive Robot Behaviors using Large Language Models
  7. 2025SDialog: A Python Toolkit for End-to-End Agent Building, User Simulation, Dialog Generation, and Evaluation
  8. 2024The Conversation is the Command: Interacting with Real-World Autonomous Robot Through Natural Language