code generation 2performance optimization 2benchmarking 1execution feedback 1gpu programming 1parallel computing 1program synthesis 1reinforcement learning 1
From the 2 of 2 linked papers with an AI index.
2 papers
cs.LG2026
RLPF: Reinforcement Learning from Performance Feedback for Code Generation
Huihao Jing, Haozhe Cui, Wenbin Hu +9
The paper introduces RLPF, a reinforcement‑learning approach that uses staged performance feedback to train code‑generation models to produce not only correct programs but also fas…
cs.SE2026
PerfCodeBench: Benchmarking LLMs for System-Level High-Performance Code Optimization
Huihao Jing, Wenbin Hu, Shaojin Chen +5
The paper introduces PerfCodeBench, an executable benchmark that evaluates how well large language models can generate system-level code that is not only correct but also optimized…