3 citations · 4 across the 3 of their papers we have counts for
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cs.SE2023★ 1 cited
Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases
Ze Tang, Jidong Ge, Shangqing Liu +4
Large Language Models (LLMs) have demonstrated remarkable performance in code completion. However, due to the lack of domain-specific knowledge, they may not be optimal in completi…
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…