22 citations · 32 across the 6 of their papers we have counts for
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cs.CL2026
Lightweight Retrieval-Augmented Generation and Large Language Model-Based Modeling for Scalable Patient-Trial Matching
Xiaodi Li, Yang Xiao, Munhwan Lee +7
Patient-trial matching requires reasoning over long, heterogeneous electronic health records (EHRs) and complex eligibility criteria, posing significant challenges for scalability,…
cs.CL2025★ 1 cited
LLM-Match: An Open-Sourced Patient Matching Model Based on Large Language Models and Retrieval-Augmented Generation
Xiaodi Li, Shaika Chowdhury, Chung Il Wi +8
Patient matching is the process of linking patients to appropriate clinical trials by accurately identifying and matching their medical records with trial eligibility criteria. We…
cs.CL2023★ 22 cited
Detecting Reddit Users with Depression Using a Hybrid Neural Network SBERT-CNN
Ziyi Chen, Ren Yang, Sunyang Fu +3
Depression is a widespread mental health issue, affecting an estimated 3.8% of the global population. It is also one of the main contributors to disability worldwide. Recently it i…