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    <abstract>In this paper, we propose MPC (Modular Prompted Chatbot), a new approach for creating high-quality conversational agents without the need for fine-tuning. Our method utilizes pre-trained large language models (LLMs) as individual modules for long-term consistency and flexibility, by using techniques such as few-shot prompting, chain-of-thought (CoT), and external memory. Our human evaluation results show that MPC is on par with fine-tuned chatbot models in open-domain conversations, making it an effective solution for creating consistent and engaging chatbots.</abstract>
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%0 Conference Proceedings
%T Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
%A Lee, Gibbeum
%A Hartmann, Volker
%A Park, Jongho
%A Papailiopoulos, Dimitris
%A Lee, Kangwook
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Findings of the Association for Computational Linguistics: ACL 2023
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F lee-etal-2023-prompted
%X In this paper, we propose MPC (Modular Prompted Chatbot), a new approach for creating high-quality conversational agents without the need for fine-tuning. Our method utilizes pre-trained large language models (LLMs) as individual modules for long-term consistency and flexibility, by using techniques such as few-shot prompting, chain-of-thought (CoT), and external memory. Our human evaluation results show that MPC is on par with fine-tuned chatbot models in open-domain conversations, making it an effective solution for creating consistent and engaging chatbots.
%R 10.18653/v1/2023.findings-acl.277
%U https://aclanthology.org/2023.findings-acl.277
%U https://doi.org/10.18653/v1/2023.findings-acl.277
%P 4536-4554

Markdown (Informal)

[Prompted LLMs as Chatbot Modules for Long Open-domain Conversation](https://aclanthology.org/2023.findings-acl.277) (Lee et al., Findings 2023)

• Prompted LLMs as Chatbot Modules for Long Open-domain Conversation (Lee et al., Findings 2023)

ACL

• Gibbeum Lee, Volker Hartmann, Jongho Park, Dimitris Papailiopoulos, and Kangwook Lee. 2023. Prompted LLMs as Chatbot Modules for Long Open-domain Conversation. In Findings of the Association for Computational Linguistics: ACL 2023, pages 4536–4554, Toronto, Canada. Association for Computational Linguistics.