Papers by Chengyu Jiao

1 papers
SPE Attention: Making Attention Equivariant to Semantic-Preserving Permutation for Code Processing (2025.emnlp-main)

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Challenge: Existing approaches to train code processing models to capture symmetry of code . semantic-preserving permutations are not found in natural languages .
Approach: They propose a mechanism that captures a unique symmetry of code, called the SPE attention . they propose symmetry graphs that are then combined to create a symmetry mask .
Outcome: The proposed model can be used to analyze code summarization and error detection tasks.

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