18 citations · 21 across the 9 of their papers we have counts for
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cs.SE2024★ 2 cited
ExploraCoder: Advancing code generation for multiple unseen APIs via planning and chained exploration
Yunkun Wang, Yue Zhang, Zhen Qin +5
Large language models face intrinsic limitations in coding with APIs that are unseen in their training corpora. As libraries continuously evolve, it becomes impractical to exhausti…
cs.SE2024★ 1 cited
Exploring Parameter-Efficient Fine-Tuning of Large Language Model on Automated Program Repair
Guochang Li, Chen Zhi, Jialiang Chen +2
Automated Program Repair (APR) aims to fix bugs by generating patches. And existing work has demonstrated that "pre-training and fine-tuning" paradigm enables Large Language Models…