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Concurrency without Model Changes: Future-based Asynchronous Function Calling for LLMs

Feng, Guangyu et al.
arXiv (All) · Papers
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computation-and-languagemachine-learning
Function calling, also known as tool use, is a core capability of modern LLM agents but is typically constrained by synchronous execution semantics. Under these semantics, LLM decoding is blocked until each function call completes, resulting in increasing end-to-end latency. In this work, we introdu
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