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Jul 2026
Large language models now write a growing share of the world's code, increasingly inside agents and serving systems that compile, execute, or dispatch generated code without line-by-line review. This works well for mainstream languages but remains brittle for low-resource programming surfaces such as domain-specific la...
Shuoming Zhang, Ruiyuan Xu, Haofeng Li et al.
· arXiv.org · 0 citations
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Book
Open access
Jul 2026
A code agent-agnostic agentic scaffold for automated code performance optimization that enables the system to autonomously execute the entire pipeline: project-level runtime analysis, hotspot identification and benchmark extraction, Abstract Syntax Tree (AST)-precise code localization, candidate patch generation, funct...
Hanning Lu, Chunwei Xia
· ICS Workshops · 0 citations
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Preprint
Aug 2026
Results show that LLMs can complement compiler analysis as speculative semantic proposers, provided that their artifacts are validated and evaluated.
Hailong Jiang, Feng Yu, Emran Hossain et al.
· 0 citations
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