arXiv Machine Learning June 16, 2026 By Zhiqiang Zhou, Junliang Dai, Xu Ling

TriAdReview: Triangular Adversarial Review Architecture for Multi-Model Technical Document Generation

Read the original on arXiv Machine Learning →

arXiv:2606. 15074v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for technical document generation, yet single-model outputs often suffer from over-engineering, security blind spots, and incomplete coverage.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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