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Hybrid Quantum-Classical Transfer Learning for Parameter-Efficient Code Generation

The remarkable success of large language models (LLMs) in code generation has transformed software development, with systems like Codex, CodeGen, and StarCoder demonstrating strong capabilities in synthesizing functional code from natural language descriptions. However, this progress comes at a stee...

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Principais autores: Su-Chang Lim, Jong-Chan Kim
Formato: Artigo
Idioma:Inglês
Publicado: IEEE 2026-01-01
Series:IEEE Access
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Acceso en liña:https://ieeexplore.ieee.org/document/11495113/
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