13 citations · 65 across the 21 of their papers we have counts for
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cs.CL2023★ 2 cited
EvoText: Enhancing Natural Language Generation Models via Self-Escalation Learning for Up-to-Date Knowledge and Improved Performance
Zhengqing Yuan, Huiwen Xue, Chao Zhang +1
In recent years, pretrained models have been widely used in various fields, including natural language understanding, computer vision, and natural language generation. However, the…
cs.CL2021★ 2 cited
AcTune: Uncertainty-aware Active Self-Training for Semi-Supervised Active Learning with Pretrained Language Models
Yue Yu, Lingkai Kong, Jieyu Zhang +2
While pre-trained language model (PLM) fine-tuning has achieved strong performance in many NLP tasks, the fine-tuning stage can be still demanding in labeled data. Recent works hav…