4 papers
TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs
Shuyi Liu, Yuming Shang, Xi Zhang
Retrieval-Augmented Generation (RAG) has emerged as a powerful framework for enhancing the capabilities of Large Language Models (LLMs) by integrating retrieval-based methods with…
Hoist with His Own Petard: Inducing Guardrails to Facilitate Denial-of-Service Attacks on Retrieval-Augmented Generation of LLMs
Pan Suo, Yu-Ming Shang, San-Chuan Guo +1
Retrieval-Augmented Generation (RAG) integrates Large Language Models (LLMs) with external knowledge bases, improving output quality while introducing new security risks. Existing…
JailBench: A Comprehensive Chinese Security Assessment Benchmark for Large Language Models
Shuyi Liu, Simiao Cui, Haoran Bu +2
Large language models (LLMs) have demonstrated remarkable capabilities across various applications, highlighting the urgent need for comprehensive safety evaluations. In particular…
SCCD: A Session-based Dataset for Chinese Cyberbullying Detection
Qingpo Yang, Yakai Chen, Zihui Xu +3
The rampant spread of cyberbullying content poses a growing threat to societal well-being. However, research on cyberbullying detection in Chinese remains underdeveloped, primarily…