2 citations · 4 across the 5 of their papers we have counts for
6 papers
The Alignment Paradox: How Post-Training Amplifies Confident Hallucinations in Language Models
Qingjia Huang, Yakai Li, Jianguo Wu +5
Large language models (LLMs) can produce factually incorrect answers with high confidence, undermining their reliability and limiting the effectiveness of uncertainty-based error d…
JailMeter: An Evidence-Based Evaluation Framework for Jailbreak Attacks on Large Language Models
Qingjia Huang, Jingyu Zhang, Jianguo Wu +6
The assessment of jailbreak attacks against large language models currently suffers from inconsistent evaluation criteria and methods, leading to unreliable estimates of attack suc…
Prefill-level Jailbreak: A Black-Box Risk Analysis of Large Language Models
Yakai Li, Jiekang Hu, Weiduan Sang +7
Large Language Models face security threats from jailbreak attacks. Existing research has predominantly focused on prompt-level attacks while largely ignoring the underexplored att…
LoopSCC: Towards Summarizing Multi-branch Loops within Determinate Cycles
Kai Zhu, Chenkai Guo, Kuihao Yan +5
Analyzing programs with loops is a challenging task, suffering from potential issues such as indeterminate number of iterations and exponential growth of control flow complexity. L…
SEEF-ALDR: A Speaker Embedding Enhancement Framework via Adversarial Learning based Disentangled Representation
Jianwei Tai, Xiaoqi Jia, Qingjia Huang +3
Speaker verification, as a biometric authentication mechanism, has been widely used due to the pervasiveness of voice control on smart devices. However, the task of "in-the-wild" s…
ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks
Xiaoqi Jia, Jianwei Tai, Hang Zhou +4
Despite the remarkable progress made in synthesizing emotional speech from text, it is still challenging to provide emotion information to existing speech segments. Previous method…