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Hui Ji

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Jul 2026

Distilling large language models for code generation via ranking supervision.

This work proposes a distillation approach based on ranking supervision that consistently outperforms supervised fine-tuning as well as FKL and RKL baselines in Python code generation, multilingual generation, and data-science scenarios and offers guidance for future research in model compression.

Zhe Ding, Hui Ji, Su Pan et al. · 0 citations