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Interpreting User Requests in the Context of Natural Language Standing Instructions
March 8, 2024, 5:48 a.m. | Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Benjamin Van Durme, Harsh Jhamtani
cs.CL updates on arXiv.org arxiv.org
Abstract: Users of natural language interfaces, generally powered by Large Language Models (LLMs),often must repeat their preferences each time they make a similar request. We describe an approach to LLM-based dialogue modeling in which persistent user constraints and preferences -- collectively termed standing instructions -- as additional context for such interfaces. For example, when a user states "I'm hungry", a previously expressed preference for Persian food can be automatically added to the LLM prompt, influencing the …
abstract arxiv constraints context cs.ai cs.cl dialogue interfaces language language models large language large language models llm llms modeling natural natural language request type
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