标题为英语JevSpawn: Adaptive Agentic Inference through Compositional Action Spaces
LLM agents generate intermediate reasoning and actions token by token, making extended interactions slow and computationally expensive. Jev-style models offer fast probabilistic predictions over finite fields, but require those fields to be specified in advance. This requirement…
AI 摘要：要点
- LLM agents generate intermediate reasoning and actions token by token, making extended interactions slow and computationally expensive
- Jev-style models offer fast probabilistic predictions over finite fields, but require those fields to be specified in advance
- This requirement…
JevSpawn: Adaptive Agentic Inference through Compositional Action Spaces
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