TriAdReview Architecture Improves Multi-Model Technical Document Generation

Large language models (LLMs) are increasingly used for generating technical documents, but their outputs often suffer from issues like over-engineering, security vulnerabilities, or incomplete coverage. To address these limitations, a new framework called TriAdReview has been proposed. TriAdReview employs a triangular adversarial review architecture, featuring two independent reviewer models (e.g., one for engineering, one for security) and a unique triangular judging mechanism. This setup allows for iterative improvement of a generator model's output by incorporating diverse perspectives. Evaluations across five benchmark tasks demonstrated that the full triple-model configuration achieved a significant overall improvement compared to a single-model baseline, with notable gains in security audit and code generation. However, the system showed a degradation in completeness-oriented tasks like requirements analysis, indicating a structural bias towards simplification that requires prompt adaptation for mitigation.