5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 5 cited
Pay Attention to the Robustness of Chinese Minority Language Models! Syllable-level Textual Adversarial Attack on Tibetan Script
Xi Cao, Dolma Dawa, Nuo Qun +1
The textual adversarial attack refers to an attack method in which the attacker adds imperceptible perturbations to the original texts by elaborate design so that the NLP (natural…
cs.CL2024★ 2 cited
Multi-Granularity Tibetan Textual Adversarial Attack Method Based on Masked Language Model
Xi Cao, Nuo Qun, Quzong Gesang +2
In social media, neural network models have been applied to hate speech detection, sentiment analysis, etc., but neural network models are susceptible to adversarial attacks. For i…
cs.CL2023
PEFTT: Parameter-Efficient Fine-Tuning for low-resource Tibetan pre-trained language models
Zhou Mingjun, Daiqing Zhuoma, Qun Nuo +1
In this era of large language models (LLMs), the traditional training of models has become increasingly unimaginable for regular users and institutions. The exploration of efficien…