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Strategist: Evolving Reasoning with Agents

Paper recorded by Signals 4 on 2026-11-02 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-02 on arXiv · recorded by Signals 4 on 2026-11-03

Category: cs.AI · 人工智能 · first seen 2026-11-03

Abstract

A model is only half of an AI agent system. The other half is the inference strategy: the reasoning procedure that turns model calls into a response. Today that second half is written by hand, and the experience of building one strategy never carries to the next. We introduce Strategist, a meta-agent that evolves inference strategies across tasks. Each strategy is written as a blueprint,executable

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#26 most recent of 920 cs.AI papers we have recorded · ↑ newer: D&A: Decoupling Description and Assessment Enables VLMs as Zero-Shot R · ↓ older: Tracing the Scientific Discovery Capacity of LLMs to Their Training Da
Cite this page: Strategist: Evolving Reasoning with Agents: the #26 most recent of 920 cs.AI papers we have recorded (as of 2026-11-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/strategist-evolving-reasoning-with-agents.html
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