5 citations · 17 across the 10 of their papers we have counts for
10 papers
Zero-shot Tweet-Level Stance Detection Enhanced by External Knowledge and Reflective Chain-of-Thought Reasoning
Yiju Huang, Wenxian Wang, Lijun Zhou +4
Zero-shot tweet-level stance detection confronts two primary challenges: (1) mitigating the context sparsity inherent in short texts, and (2) establishing the relevance between imp…
EvoJail: Evolutionary Diverse Jailbreak Prompt Generation for Large Language Models
Rui Tang, Kaiyu Xu, Pengsen Cheng +3
As LLMs continue to shape real-world applications, automated jailbreak generation becomes essential to reveal safety weaknesses and guide model improvement. Existing automatic jail…
A GAN and LLM-Driven Data Augmentation Framework for Dynamic Linguistic Pattern Modeling in Chinese Sarcasm Detection
Wenxian Wang, Xiaohu Luo, Junfeng Hao +4
Sarcasm is a rhetorical device that expresses criticism or emphasizes characteristics of certain individuals or situations through exaggeration, irony, or comparison. Existing meth…
KryptoPilot: An Open-World Knowledge-Augmented LLM Agent for Automated Cryptographic Exploitation
Xiaonan Liu, Zhihao Li, Xiao Lan +3
Capture-the-Flag (CTF) competitions play a central role in modern cybersecurity as a platform for training practitioners and evaluating offensive and defensive techniques derived f…
ReZG: Retrieval-Augmented Zero-Shot Counter Narrative Generation for Hate Speech
Shuyu Jiang, Wenyi Tang, Xingshu Chen +3
The proliferation of hate speech (HS) on social media poses a serious threat to societal security. Automatic counter narrative (CN) generation, as an active strategy for HS interve…
ClueGraphSum: Let Key Clues Guide the Cross-Lingual Abstractive Summarization
Shuyu Jiang, Dengbiao Tu, Xingshu Chen +3
Cross-Lingual Summarization (CLS) is the task to generate a summary in one language for an article in a different language. Previous studies on CLS mainly take pipeline methods or…
Detecting Offensive Language on Social Networks: An End-to-end Detection Method based on Graph Attention Networks
Zhenxiong Miao, Xingshu Chen, Haizhou Wang +3
The pervasiveness of offensive language on the social network has caused adverse effects on society, such as abusive behavior online. It is urgent to detect offensive language and…
An End-to-End Attack on Text-based CAPTCHAs Based on Cycle-Consistent Generative Adversarial Network
Chunhui Li, Xingshu Chen, Haizhou Wang +2
As a widely deployed security scheme, text-based CAPTCHAs have become more and more difficult to resist machine learning-based attacks. So far, many researchers have conducted atta…
Interlayer Link Prediction in Multiplex Social Networks Based on Multiple Types of Consistency between Embedding Vectors
Rui Tang, Zhenxiong Miao, Shuyu Jiang +3
Online users are typically active on multiple social media networks (SMNs), which constitute a multiplex social network. It is becoming increasingly challenging to determine whethe…
Interlayer link prediction in multiplex social networks: an iterative degree penalty algorithm
Rui Tang, Shuyu Jiang, Xingshu Chen +3
Online social network (OSN) applications provide different experiences; for example, posting a short text on Twitter and sharing photographs on Instagram. Multiple OSNs constitute…