Papers by Wenbo Duan
PDC & DM-SFT: A Road for LLM SQL Bug-Fix Enhancing (2025.coling-industry)
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| Challenge: | Existing code large language models focus on generating correct code, but struggle with bug repair. |
| Approach: | They propose a set of methods to enhance LLM’s SQL bug-fixing abilities by combining a data set construction and a supervised bug-fixed learning approach. |
| Outcome: | The proposed methods exceed current best performing model which size is much larger. |
WaveFM: A High-Fidelity and Efficient Vocoder Based on Flow Matching (2025.naacl-long)
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| Challenge: | Flow matching is a robust and stable approach to training diffusion models, but it can result in subpar audio quality. |
| Approach: | They propose a reparameterized flow matching model for mel-spectrogram conditioned speech synthesis that uses a mel prior instead of a standard Gaussian prior to minimize unnecessary transportation costs. |
| Outcome: | The proposed model improves sample quality and generation speed for speech vocoders while reducing transportation costs. |
TS-SQL: Test-driven Self-refinement for Text-to-SQL (2025.findings-emnlp)
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| Challenge: | null |
| Approach: | null |
| Outcome: | null |