3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2026
X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Models
Jie Huang, Pengfei Yin, Zihan Xu +3
Foundation Models for Electronic Health Records (FEMRs) are pretrained on large-scale structured patient data, enabling them to convert longitudinal patient trajectories into gener…
cs.CL2024
Query pipeline optimization for cancer patient question answering systems
Maolin He, Rena Gao, Mike Conway +1
Retrieval-augmented generation (RAG) mitigates hallucination in Large Language Models (LLMs) by using query pipelines to retrieve relevant external information and grounding respon…
cs.CL2024★ 3 cited
Whose Side Are You On? Investigating the Political Stance of Large Language Models
Pagnarasmey Pit, Xingjun Ma, Mike Conway +6
Large Language Models (LLMs) have gained significant popularity for their application in various everyday tasks such as text generation, summarization, and information retrieval. A…