4 citations · 6 across the 4 of their papers we have counts for
6 papers
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…
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…
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…
MedChatZH: a Better Medical Adviser Learns from Better Instructions
Yang Tan, Mingchen Li, Zijie Huang +2
Generative large language models (LLMs) have shown great success in various applications, including question-answering (QA) and dialogue systems. However, in specialized domains li…
SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering
Mingchen Li, Liqi Kang, Yi Xiong +4
Deep learning has been widely used for protein engineering. However, it is limited by the lack of sufficient experimental data to train an accurate model for predicting the functio…
Predicting Community Smells' Occurrence on Individual Developers by Sentiments
Zijie Huang, Zhiqing Shao, Guisheng Fan +4
Community smells appear in sub-optimal software development community structures, causing unforeseen additional project costs, e.g., lower productivity and more technical debt. Pre…