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Xia Hu

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#artificial intelligence May 2026

PEAR: Permutation-Equivariant Adaptive Routing Multi-Agent Debate

Comprehensive empirical evaluations demonstrate PEAR significantly improves average accuracy over the strongest debate baselines, and theoretically characterize PEAR as an equivariant sparse router: it preserves accuracy under agent relabeling while reducing routing complexity and improving generalization.

Yang Feng, Ziwei Xu, Xia Hu et al. · arXiv.org · 0 citations