120 citations · 240 across the 11 of their papers we have counts for
7 papers · 1 filter
On the Evaluation of Neural Code Translation: Taxonomy and Benchmark
Mingsheng Jiao, Tingrui Yu, Xuan Li +3
In recent years, neural code translation has gained increasing attention. While most of the research focuses on improving model architectures and training processes, we notice that…
Self-Supervised Query Reformulation for Code Search
Yuetian Mao, Chengcheng Wan, Yuze Jiang +1
Automatic query reformulation is a widely utilized technology for enriching user requirements and enhancing the outcomes of code search. It can be conceptualized as a machine trans…
Diet Code Is Healthy: Simplifying Programs for Pre-trained Models of Code
Zhaowei Zhang, Hongyu Zhang, Beijun Shen +1
Pre-trained code representation models such as CodeBERT have demonstrated superior performance in a variety of software engineering tasks, yet they are often heavy in complexity, q…
Zero-Shot Program Representation Learning
Nan Cui, Yuze Jiang, Xiaodong Gu +1
Learning program representations has been the core prerequisite of code intelligent tasks such as code search and code clone detection. The state-of-the-art pre-trained models such…
Cross-Domain Deep Code Search with Meta Learning
Yitian Chai, Hongyu Zhang, Beijun Shen +1
Recently, pre-trained programming language models such as CodeBERT have demonstrated substantial gains in code search. Despite showing great performance, they rely on the availabil…
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang +1
Computer programs written in one language are often required to be ported to other languages to support multiple devices and environments. When programs use language specific APIs…
Deep API Learning
Xiaodong Gu, Hongyu Zhang, Dongmei Zhang +1
Developers often wonder how to implement a certain functionality (e.g., how to parse XML files) using APIs. Obtaining an API usage sequence based on an API-related natural language…