3 papers
cs.CL2026
Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding
Linyu Li, Zhi Jin, Yuanpeng He +6
As social media and the World Wide Web become hubs for information dissemination, effectively organizing and understanding the vast amounts of dynamically evolving Web content is c…
cs.CL2025
Human-in-the-Loop Generation of Adversarial Texts: A Case Study on Tibetan Script
Xi Cao, Yuan Sun, Jiajun Li +3
DNN-based language models excel across various NLP tasks but remain highly vulnerable to textual adversarial attacks. While adversarial text generation is crucial for NLP security,…
cs.CL2024
TSCheater: Generating High-Quality Tibetan Adversarial Texts via Visual Similarity
Xi Cao, Quzong Gesang, Yuan Sun +2
Language models based on deep neural networks are vulnerable to textual adversarial attacks. While rich-resource languages like English are receiving focused attention, Tibetan, a…