JevSpawn: adaptive agentic inference via compositional action spaces
Read the original at arxiv.org→arXiv:2610.00437v1 Announce Type: new Abstract: LLM agents generate intermediate reasoning and actions token by token, making extended interactions slow and computationally expensive. Jev-style models offer fast...
Original headline: "JevSpawn: Adaptive Agentic Inference through Compositional Action Spaces"
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- Oct 2, 04:00 UTC arXiv cs.AI lead source JevSpawn: Adaptive Agentic Inference through Compositional Action Spaces