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Control in Hybrid Chatbots

2023/11/20 by Thomas K. Rudel, Thomas Rüdel, Rüdel, Thomas +2 · 1 voice
Computer Science · #68T07 #68T50 #Artificial Intelligence (cs.AI) #Blockchain Technology Applications and Security #Computation and Language (cs.CL) #FOS: Computer and information sciences #H.3.3 #Human-Computer Interaction (cs.HC) #I.2.7 #Information Retrieval (cs.IR) #cs.AI #cs.CL #cs.HC #cs.IR

paper · pdf · doi:10.48550/arxiv.2311.11701

openalex publication_date 2023/11/20 · arxiv published 2023/11/20 · arxiv updated 2023/11/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Customer data typically is held in database systems, which can be seen as rule-based knowledge base, whereas businesses increasingly want to benefit from the capabilities of large, pre-trained language models. In this technical report, we describe a case study of how a commercial rule engine and an integrated neural chatbot may be integrated, and what level of control that particular integration mode leads to. We also discuss alternative ways (including past ways realized in other systems) how researchers strive to maintain control and avoid what has recently been called model "hallucination".

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