# JevSpawn: Adaptive Agentic Inference through Compositional Action Spaces

> Полный текст доступен на английском

**Published:** 2 октября 2026 г.
**Author:** Haoyang Su, Weiran Huang
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/ru/articles/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…

> Материал агрегирован из первоисточника: **arXiv — cs.AI**
> [Читать полностью в arXiv — cs.AI](https://arxiv.org/abs/2610.00437)

**Теги:** #arXiv

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