新闻
Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reasoning
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers introduced agentic meta-reasoning, a control layer that manages long-horizon agent execution by making step-by-step decisions about which work to pursue and when to stop.
- 为何重要
- Matters for engineers building production coding agents or complex multi-step reasoning systems where controlling agent execution becomes a bottleneck at scale.
- 注意
- Meta-reasoning adds overhead that hurts performance on small compute budgets, and gains plateau at certain budget ranges despite theoretical improvements in longer runs.
- agent
- agentic
- reasoning
- inference
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