An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation (2025.emnlp-main)
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| Challenge: | Recent advances in large language models (LLMs) have demonstrated impressive capabilities across complex reasoning and generation tasks. |
| Approach: | They evaluate a broad spectrum of collaboration strategies for repository-level code generation where the weak model handles simpler tasks at lower cost and the most challenging tasks are delegated to the strong model. |
| Outcome: | The proposed model achieves equivalent performance to the strong model while reducing the cost by 40%. |
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