Simple Self-Distillation Boosts Code Generation Without External Verifiers

Jul 17, 2026

Apple researchers demonstrate that a large language model can improve its code generation ability by fine-tuning on its own sampled outputs, a method called simple self-distillation (SSD). SSD improved Qwen3-30B-Instruct from 42.4% to 55.3% pass@1 on LiveCodeBench v6, with gains concentrated on harder problems. The approach generalizes across Qwen and Llama models at various scales.

Why it matters: This work shows that LLMs can self-improve on code generation without external supervision, potentially reducing the need for expensive human annotations or reinforcement learning.

Full story at: Apple Machine Learning Research ↗