On-device query intent prediction with lightweight LLMs to support ubiquitous conversations
Mateusz Dubiel,
Yasmine Barghouti,
Kristina Kudryavtseva
et al.
Abstract:Conversational Agents (CAs) have made their way to providing interactive assistance to users. However, the current dialogue modelling techniques for CAs are predominantly based on hard-coded rules and rigid interaction flows, which negatively affects their flexibility and scalability. Large Language Models (LLMs) can be used as an alternative, but unfortunately they do not always provide good levels of privacy protection for end-users since most of them are running on cloud services. To address these problems,… Show more
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