Papers by Yinxing Xue
Rust-doctor: Enhanced Feature for Rust Ownership and Lifetime Repair with Balanced Training Data Generation (2025.findings-emnlp)
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| Challenge: | Rust has gained popularity due to its safety features during compilation. |
| Approach: | They propose to use a training dataset to generate a balanced training dataset and leverage the Mid-level Intermediate Representation (MIR) as enhanced features for Rust’s unique compilation error repair. |
| Outcome: | The proposed model outperforms state-of-the-art models in terms of Pass@K and Acc@K. |