17 citations · 27 across the 6 of their papers we have counts for
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cs.CV2022
Background Invariance Testing According to Semantic Proximity
Zukang Liao, Min Chen
In many applications, machine-learned (ML) models are required to hold some invariance qualities, such as rotation, size, and intensity invariance. Among these, testing for backgro…
cs.CL2022★ 3 cited
MME-CRS: Multi-Metric Evaluation Based on Correlation Re-Scaling for Evaluating Open-Domain Dialogue
Pengfei Zhang, Xiaohui Hu, Kaidong Yu +4
Automatic open-domain dialogue evaluation is a crucial component of dialogue systems. Recently, learning-based evaluation metrics have achieved state-of-the-art performance in open…
cs.CL2022★ 1 cited
Adaptive Prompt Learning-based Few-Shot Sentiment Analysis
Pengfei Zhang, Tingting Chai, Yongdong Xu
In the field of natural language processing, sentiment analysis via deep learning has a excellent performance by using large labeled datasets. Meanwhile, labeled data are insuffici…