Papers by Songwen Gong
Sequence Structure Aware Retriever for Procedural Document Retrieval: A New Dataset and Baseline (2025.findings-emnlp)
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| Challenge: | Existing retrieval methods neglect the execution sequence structures inherent in procedural documents. |
| Approach: | They propose a retrieval model which integrates procedural graphs with document representations. |
| Outcome: | The proposed model integrates procedural graphs with document representations to improve document retrieval. |
Fine-Grained Features-based Code Search for Precise Query-Code Matching (2025.coling-main)
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| Challenge: | Existing methods to locate code snippets from databases represent the semantics of code and query by averaging the features of each token and word. |
| Approach: | They propose a fine-grained code search model that consists of a cross-modal encoder, mapping layer and classification layer to capture fine-granular interactions between code and query. |
| Outcome: | The proposed model significantly outperforms existing methods across multiple programming language datasets. |