# Preprint finds independent model panels improve reasoning with fewer tokens

_Published Monday, October 19, 2026 at 11:07 AM EDT · AI, Science · Latest · Tier 2 — Notable_

A preprint reports that selectively asking different AI models to solve a question independently improved reasoning results while using up to 47.2% fewer tokens than a multi-agent baseline. The method, called DIA, outperformed full chain-of-thought reasoning in 12 of 14 settings across seven benchmarks and two base models, including a 7.00% gain on MuSiQue.

DIA activates when intermediate and final predictions disagree, then aggregates answers from a separate panel that sees neither prediction. It activated on approximately 17% of examples. Ablation tests found that both independent solving and differences among the panel's models were necessary for the gains.

## Sources

- [cs.AI updates on arXiv.org](https://arxiv.org/abs/2610.23213)

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Canonical: https://techandbusiness.org/newswire/vVkAQ7UBvISPesGUkjC2zu
Published: 2026-10-19T15:07:30.611Z
Story chronology: 2026-10-19T04:00:00.000Z
Retrieved: 2026-10-19T18:28:17.720Z
Publisher: Tech & Business (techandbusiness.org)