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Focus Shifts to Structured and Verifiable AI Development

The observed trend moves beyond simple model capability improvements toward building highly reliable systems that function within complex, real-world constraints. This is evidenced by the focus on using composable architecture frameworks or subjecting AI to rigorous validation through high-difficulty benchmarks like the Ramanujan Challenge. Furthermore, securing efficiency and robustness has become a critical concern across diverse domains, from optimizing RAG performance to streamlining embedded system security patches.

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arXivJuly 28, 2026

Semantic-Enhanced Automatic Refinement of Architecture Recovery Results Using LLMs

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LLM의 의미론적 이해와 의존성 분석을 결합하여 자동 아키텍처 복구 결과를 정제하는 프레임워크 Semref를 제안합니다. 기존 도구의 낮은 정확도를 개선하여 수동 정제 노력을 줄이고 아키텍처 복구의 신뢰성을 높입니다.

llm
architecture-recovery
semantic-understanding
software-engineering
dependency-analysis

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Semantic-Enhanced Automatic Refinement of Architecture Recovery Results Using LLMs

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