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cs.CL2024
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
SAFETY-J: Evaluating Safety with Critique
Yixiu Liu, Yuxiang Zheng, Shijie Xia +4
The deployment of Large Language Models (LLMs) in content generation raises significant safety concerns, particularly regarding the transparency and interpretability of content eva…