Speculative decoding for batch inference of LLM agents; performance degrades at large batch sizes, authors propose a systema-? (trim to core finding)
Read the original at arxiv.org→arXiv:2608.24004v1 Announce Type: new Abstract: Large language model (LLM)-based agent applications often incur high response time. Speculative decoding is a promising solution to improve the inference efficiency of...
Original headline: "AgentSpec: Speculative Decoding for Batch Inference of LLM Agents"
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- Aug 26, 04:00 UTC arXiv cs.CL lead source AgentSpec: Speculative Decoding for Batch Inference of LLM Agents