3 papers
cs.CR2026
ASTRA: An Automated Framework for Strategy Discovery, Retrieval, and Evolution for Jailbreaking LLMs
Xu Liu, Yan Chen, Kan Ling +4
Despite extensive safety alignment, Large Language Models (LLMs) remain vulnerable to jailbreak attacks. However, existing methods generally lack the capability for continuous lear…
cs.AI2026
A Hybrid Knowledge-Grounded Framework for Safety and Traceability in Prescription Verification
Yichi Zhu, Kan Ling, Xu Liu +3
Medication errors pose a significant threat to patient safety, making pharmacist verification (PV) a critical, yet heavily burdened, final safeguard. The direct application of Larg…
cs.IR2026
SeDa: A Unified System for Dataset Discovery and Multi-Entity Augmented Semantic Exploration
Kan Ling, Zhen Qin, Yichi Zhu +3
The continuous expansion of open data platforms and research repositories has led to a fragmented dataset ecosystem, posing significant challenges for cross-source data discovery a…