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AI · arxiv.org · Friday, 31 July 2026

RLPF trains code models to optimise runtime, lifting correct solutions from 11% to 55%

RLPF shows how to teach code models to chase speed, not just pass tests. By staging rewards, first for compilation then for runtime gains, the method lifts Qwen3‑32B from 11% to 55% runnable solutions and raises average efficiency by about 30 points.

Read the source: arxiv.org ↗In the 31 July issue →