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#small language model Open access Oct 2026

XSearch: Explainable Code Search via Concept-to-Code Alignment

With the emergence of deep learning, semantic code search has been widely adopted in both academia and industry. These approaches embed natural-language queries and code snippets into a shared embedding space and retrieve results based on vector similarity. Despite their strong performance on benchmark datasets, they o...

Yiming Liu, Ruofan Liu, Yun Lin et al. · 1 citation
#large language models Open access Oct 2026

Compiling Large Multi-modal Requirement Documents into Runnable Software Systems: From an Agentic Test-Driven Perspective

Large Language Models (LLMs) have significantly improved programming efficiency by parsing natural language into code snippets. However, their performance degrades significantly as requirements scale; when faced with multi-modal documents containing hundreds of scenarios, LLMs often produce incorrect implementations or...

Weiyu Kong, Yun Lin, Xiwen Teoh et al. · 1 citation

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