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Do Proactive Agents Need an LLM to Decide When to Act?

Liu, Xiaoze et al.
arXiv (All) · Papers
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computation-and-languagehuman-computer-interaction
Proactive assistants continuously decide when to intervene and what context should support the intervention. Large language model (LLM) pipelines repeatedly interpret activity histories to make these decisions, paying an inference cost even when the assistant remains silent. We show that a small gra
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