Adding New Capability in Existing Scientific Application with LLM Assistance

📝 Original Info

• Title: Adding New Capability in Existing Scientific Application with LLM Assistance
• ArXiv ID: 2511.00087
• Date: 2025-10-30
• Authors: 정보가 제공되지 않음 (논문에 명시된 저자 정보를 입력해 주세요.)

📝 Abstract

With the emergence and rapid evolution of large language models (LLM), automating coding tasks has become an important research topic. Many efforts are underway and literature abounds about the efficacy of models and their ability to generate code. A less explored aspect of code generation is for new algorithms, where the training dataset would not have included any previous example of similar code. In this paper we propose a new methodology for writing code from scratch for a new algorithm using LLM assistance, and describe enhancement of a previously developed code-translation tool, Code-Scribe, for new code generation.

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