191 citations · 297 across the 6 of their papers we have counts for
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cs.CL2022★ 1 cited
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm
Lei Xu, Yangyi Chen, Ganqu Cui +2
Prompt-based learning paradigm bridges the gap between pre-training and fine-tuning, and works effectively under the few-shot setting. However, we find that this learning paradigm…
cs.CL2021★ 1 cited
R&R: Metric-guided Adversarial Sentence Generation
Lei Xu, Alfredo Cuesta-Infante, Laure Berti-Equille +1
Adversarial examples are helpful for analyzing and improving the robustness of text classifiers. Generating high-quality adversarial examples is a challenging task as it requires g…
cs.CL2016★ 4 cited
Topic Sensitive Neural Headline Generation
Lei Xu, Ziyun Wang, Ayana +2
Neural models have recently been used in text summarization including headline generation. The model can be trained using a set of document-headline pairs. However, the model does…