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: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2026-01-01
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| Colecção: | IEEE Access |
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| Acesso em linha: | https://ieeexplore.ieee.org/document/11495113/ |
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