Papers by Taolue Chen

2 papers
Beyond Sequences: Two-dimensional Representation and Dependency Encoding for Code Generation (2025.acl-long)

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Challenge: Existing code generation approaches represent code as a linear sequence of tokens, but positional encodings compromise generalization . explicit positional encoders sacrifice permutation invariance, imposes a strict order on the input sequence .
Approach: They propose to represent code snippets as two-dimensional entities with explicit encodings . they propose to use dictionary learning to perform semantic matching between code lines .
Outcome: The proposed model captures the hierarchical and spatial structure of code, especially the dependencies between code lines.
Syntax-Aware Retrieval Augmented Code Generation (2023.findings-emnlp)

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Challenge: Neural code generation models with token-level retrieval capabilities are often noisy and time-consuming.
Approach: They propose a token-level retrieval augmented code generation method that leverages syntax constraints for the retrieval of datastores.
Outcome: The proposed method reduces the impact of retrieve noise on code generation on two datasets.

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