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Abstract: Large Language Models (LLMs) have transformed code auto-completion by generating context-aware suggestions. Yet, deciding when to present these suggestions remains underexplored, often ...
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Choosing the right additives could help “cell-free” expression systems finally fulfill their potential and provide biopharma with a low-cost way of making protein drugs, according to a recent research ...
Abstract: Software quality and long-term maintainability represent fundamental challenges in modern software engineering. Among the critical factors that affect these attributes are code smells, ...
Software Development Life Cycle Perspective A Survey of Benchmarks for Code Large Language Models and Agents from Xi’an Jiaotong University HumanEval Evaluating Large Language Models Trained on Code ...