8 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.SE2022★ 8 cited
TestAug: A Framework for Augmenting Capability-based NLP Tests
Guanqun Yang, Mirazul Haque, Qiaochu Song +2
The recently proposed capability-based NLP testing allows model developers to test the functional capabilities of NLP models, revealing functional failures that cannot be detected…
cs.CL2021★ 1 cited
Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language Models
Guanqun Yang, Shay Dineen, Zhipeng Lin +1
Public security vulnerability reports (e.g., CVE reports) play an important role in the maintenance of computer and network systems. Security companies and administrators rely on i…
cs.CL2021★ 5 cited
An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models
Xueqing Liu, Chi Wang
The performance of fine-tuning pre-trained language models largely depends on the hyperparameter configuration. In this paper, we investigate the performance of modern hyperparamet…