2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.SE2023★ 2 cited
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion
Hengzhi Pei, Jinman Zhao, Leonard Lausen +2
Pretrained code language models have enabled great progress towards program synthesis. However, common approaches only consider in-file local context and thus miss information and…
cs.LG2022★ 1 cited
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One
Yezhen Wang, Tong Che, Bo Li +4
Autoregressive generative models are commonly used, especially for those tasks involving sequential data. They have, however, been plagued by a slew of inherent flaws due to the in…