1 code implementation • 15 Jan 2024 • Mouxiang Chen, Hao Tian, Zhongxin Liu, Xiaoxue Ren, Jianling Sun
While existing code large language models (code LLMs) exhibit impressive capabilities in code generation, their autoregressive sequential generation inherently lacks reversibility.
1 code implementation • 8 Feb 2023 • Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang
To fill this gap, this work proposes a novel Code Change Representation learning approach named CCRep, which can learn to encode code changes as feature vectors for diverse downstream tasks.
1 code implementation • 2 Apr 2021 • Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang
Considering the lack of technologies in Plot2API, we present a novel deep multi-task learning approach named Semantic Parsing Guided Neural Network (SPGNN) which translates the Plot2API issue as a multi-label image classification and an image semantic parsing tasks for the solution.
1 code implementation • 16 Sep 2019 • Zhongxin Liu, Xin Xia, Christoph Treude, David Lo, Shanping Li
We build a dataset with over 41K PRs and evaluate our approach on this dataset through ROUGE and a human evaluation.
Software Engineering