29 citations · 31 across the 4 of their papers we have counts for
6 papers
HEM-Med: A Hierarchical Agentic Memory Framework for Safe Multi-Center Medication Recommendation
Min Xiao, Jin Li, Shoujin Wang +3
Medication recommendation (MR) is critical for clinical decision support. While existing MR methods are mostly designed for single-center learning, where only one independent hospi…
Eval4DiRec: A Unified and Systematic Evaluation Framework for Diffusion-based Recommender Systems
Cong Wang, Shoujin Wang, Yishuo Li +3
Leveraging the strong generative capabilities and stable training dynamics of diffusion models, diffusion-based recommender systems (RSs) have recently emerged as a novel recommend…
ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations
Hankun Kang, Xin Miao, Jianhao Chen +5
Toxicity detection mitigates the dissemination of toxic content (e.g., hateful comments, posts, and messages within online social actions) to safeguard a healthy online social envi…
A Survey on Training-free Alignment of Large Language Models
Birong Pan, Yongqi Li, Weiyu Zhang +6
The alignment of large language models (LLMs) aims to ensure their outputs adhere to human values, ethical standards, and legal norms. Traditional alignment methods often rely on r…
BianCang: A Traditional Chinese Medicine Large Language Model
Sibo Wei, Xueping Peng, Yi-Fei Wang +8
The surge of large language models (LLMs) has driven significant progress in medical applications, including traditional Chinese medicine (TCM). However, current medical LLMs strug…
An empirical study of next-basket recommendations
Zhufeng Shao, Shoujin Wang, Qian Zhang +3
Next Basket Recommender Systems (NBRs) function to recommend the subsequent shopping baskets for users through the modeling of their preferences derived from purchase history, typi…