Papers with neural code generation model
Retrieval-Based Neural Code Generation (D18-1)
Copied to clipboard
Shirley Anugrah Hayati, Raphael Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig
| Challenge: | Existing methods to generate program source code from natural language are not able to generate complex code due to a lack of ability to memorize large and complex structures. |
| Approach: | They propose a method that uses subtree retrieval to explicitly reference existing code examples within a neural code generation model. |
| Outcome: | The proposed method improves performance on two code generation tasks by up to +2.6 BLEU. |