Read The Day

AICollective reasoningStory 07

Disagreement helps reveal which agent to trust

What changedA test-time framework normalizes reasoning styles, then deliberately places an agent's preferred answer in the minority to expose unstable decisions. Across three mathematical reasoning benchmarks and four heterogeneous model combinations, the authors report higher average accuracy and better token efficiency than competing non-oracle aggregators.

A framework diagram shows reasoning-style normalization and controlled minority placement for answer aggregation.

The useful part

Why it matters

Across three mathematical reasoning benchmarks and four heterogeneous model combinations, the authors report higher average accuracy and better token efficiency than competing non-oracle aggregators.

Keep in mind

Good to know

The abstract does not report exact aggregate accuracy gains.

Evidence

Primary source

arXiv

Read the complete 17 October 2026 edition