How does the pass@1 score of Code Llama Python compare to general foundation models on BigCodeBench tasks requ

Abstract

Abstract: Large Language Models (LLMs) have garnered remarkable advancements across diverse code-related tasks, known as Code LLMs, particularly in code generation that generates source code with LLM from natural language descriptions. This burgeoning field has captured significant interest from both academic researchers and industry professionals due to its practical significance in software development, e.g., GitHub Copilot. Despite the active exploration of LLMs for a variety of code tasks, either from the perspective of natural language processing (NLP) or software engineering (SE) or both, there is

Research Question

How does the pass@1 score of Code Llama Python compare to general foundation models on BigCodeBench tasks requiring multi-library integration versus single-library calls?

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Quality Dimensions

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Provenance