STAR-PólyaMath: Multi-Agent Reasoning under Persistent Meta-Strategic Supervision
Frontier AI models and multi-agent systems have led to significant improvements in mathematical reasoning. However, for problems requiring extended, long-horizon reasoning, existing systems continue to suffer from fundamental reliability issues: hallucination accumulation, memory fragmentation, and imbalanced reasoning-tool trade-offs. In this paper, we introduce STAR-PólyaMath, a multi-agent framework that systematically addresses these challenges through meta-level supervision and structured Reasoner-Verifier interaction. STAR-PólyaMath is structured as an orchestrated state machine with nested challenge-step-replan loops, governed by a reasoning-free Python orchestrator that separates ...
| Authors | Jiaao Wu, Xian Zhang, Hanzhang Liu et al. |
|---|---|
| Primary category | cs.MA |
| Published | 19 May 2026 |
| Last updated at source | 19 May 2026 |
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