1 citations · 2 across the 11 of their papers we have counts for
5 papers · 1 filter
LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs
Xuan Chen, Tong Lu, Zhichun Wang
Entity Alignment (EA) seeks to identify and match corresponding entities across different Knowledge Graphs (KGs), playing a crucial role in knowledge fusion and integration. Embedd…
ASPIRER: Bypassing System Prompts With Permutation-based Backdoors in LLMs
Lu Yan, Siyuan Cheng, Xuan Chen +4
Large Language Models (LLMs) have become integral to many applications, with system prompts serving as a key mechanism to regulate model behavior and ensure ethical outputs. In thi…
EffiTune: Diagnosing and Mitigating Training Inefficiency for Parameter Tuner in Robot Navigation System
Shiwei Feng, Xuan Chen, Zikang Xiong +5
Robot navigation systems are critical for various real-world applications such as delivery services, hospital logistics, and warehouse management. Although classical navigation met…
RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs
Xuan Chen, Yuzhou Nie, Lu Yan +3
Modern large language model (LLM) developers typically conduct a safety alignment to prevent an LLM from generating unethical or harmful content. Recent studies have discovered tha…
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search
Xuan Chen, Yuzhou Nie, Wenbo Guo +1
Recent studies developed jailbreaking attacks, which construct jailbreaking prompts to fool LLMs into responding to harmful questions. Early-stage jailbreaking attacks require acce…