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Liang Hong

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Review Jul 2026

WARA: A Closed-Loop Multi-Agent Framework for Wireless Optimization Autoresearch

Comparative results show that WARA substantially outperforms one-shot LLM generation and approaches the quality profile of recently accepted peer-reviewed papers, demonstrating the potential of closed-loop artifact control for end-to-end LLM-assisted wireless optimization research.

Yuancheng Guo, Yilong Chen, Chao Hu et al. · 0 citations