8 citations · 19 across the 4 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.SE2023
An Empirical Study on Noisy Label Learning for Program Understanding
Wenhan Wang, Yanzhou Li, Anran Li +3
Recently, deep learning models have been widely applied in program understanding tasks, and these models achieve state-of-the-art results on many benchmark datasets. A major challe…
cs.SE2023
Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs
Wei Ma, Zhihao Lin, Shangqing Liu +8
Code analysis is fundamental in Software Engineering, supporting debugging, optimization, and security assessment. Human developers approach it through syntax parsing, static seman…