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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
HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations
We propose a novel method for code summarization utilizing Heterogeneous Code Representations (HCRs) and our specially designed HierarchyNet.
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