11 citations · 31 across the 8 of their papers we have counts for
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cs.SE2023
FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations
Changan Niu, Chuanyi Li, Vincent Ng +2
While the majority of existing pre-trained models from code learn source code features such as code tokens and abstract syntax trees, there are some other works that focus on learn…
cs.SE2023★ 3 cited
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models
Changan Niu, Chuanyi Li, Vincent Ng +1
Despite the recent advances showing that a model pre-trained on large-scale source code data is able to gain appreciable generalization capability, it still requires a sizeable amo…
cs.SE2023★ 7 cited
An Empirical Comparison of Pre-Trained Models of Source Code
Changan Niu, Chuanyi Li, Vincent Ng +3
While a large number of pre-trained models of source code have been successfully developed and applied to a variety of software engineering (SE) tasks in recent years, our understa…