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Found 2 papers, 1 papers with code
Neural Code Generation Enhancement via Functional Overlap Reranking
In this work, we introduce \textit{SRank}, a novel reranking strategy for selecting the best solution from code generation that focuses on modeling the relationship between clusters of solutions.
Ranked #17 on
Code Generation
on HumanEval
Better Language Models of Code through Self-Improvement
We aim to improve this issue by proposing a simple data augmentation framework.
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