Research paper proposing EffiPair, a method using relative contrastive feedback to improve the efficiency of code generated by large language models.
Research
EffiPair: Improving the Efficiency of LLM-generated Code with Relative Contrastive Feedback
EffiPair trains LLMs to generate more efficient code by comparing outputs against each other using relative contrastive feedback, addressing the practical cost of running generated algorithms.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
Tags
research