Ce qui s'est passé: Decomposition Buys Integrity, Not Yield

Task decomposition across agent trees preserves accuracy but reduces output yield, with costs often outweighing benefits.

Pourquoi ça compte: Decomposition Buys Integrity, Not Yield

Engineers building multi-agent systems must weigh integrity gains against throughput losses when deciding whether to split tasks hierarchically.

Models predict only 0.7 to 11.3 percent of production sessions warrant delegation, yet 7.8 percent currently use it.

Dans l'actualité

arXiv cs.AI · Publié le 15 septembre 2026 · 3 min de lecture

Ce qui s'est passé: Task decomposition across agent trees preserves accuracy but reduces output yield, with costs often outweighing benefits.
Pourquoi ça compte: Engineers building multi-agent systems must weigh integrity gains against throughput losses when deciding whether to split tasks hierarchically.
Vigilance: Models predict only 0.7 to 11.3 percent of production sessions warrant delegation, yet 7.8 percent currently use it.

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