HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations

31 May 2022

Papers citing "HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations"

6 / 6 papers shown

Title
WAFFLE: Multi-Modal Model for Automated Front-End Development Shanchao Liang Nan Jiang Shangshu Qian Lin Tan 19 0 0 24 Oct 2024
XMainframe: A Large Language Model for Mainframe Modernization Anh T. V. Dau Hieu Trung Dao Anh Tuan Nguyen Hieu Trung Tran Phong X. Nguyen Nghi D. Q. Bui 32 1 0 05 Aug 2024
Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning Nan Jiang Chengxiao Wang Kevin Liu Xiangzhe Xu Lin Tan Xiangyu Zhang OffRL 25 8 0 22 Nov 2023
VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model Tianyu Chen Lin Li ZhuLiuchuan ZhuLiuchuan Zongyang Li Xueqing Liu Guangtai Liang Qianxiang Wang Tao Xie 16 3 0 09 Aug 2023
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 238 1,489 0 02 Sep 2021
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 185 1,170 0 03 Mar 2020