activity
20232025
most citedBeyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

40 citations · 59 across the 10 of their papers we have counts for

collaborators

10 papers

cs.AI2025

ClinNoteAgents: An LLM Multi-Agent System for Predicting and Interpreting Heart Failure 30-Day Readmission from Clinical Notes

Rongjia Zhou, Chengzhuo Li, Carl Yang +1

Heart failure (HF) is one of the leading causes of rehospitalization among older adults in the United States. Although clinical notes contain rich, detailed patient information and…

cs.AI2025

Knowledge Graph Augmented Large Language Models for Disease Prediction

Ruiyu Wang, Tuan Vinh, Ran Xu +5

Electronic health records (EHRs) enable strong clinical prediction, but explanations are often coarse and hard to use for patient-level decisions. We propose a knowledge graph (KG)…

cs.LG2025

An Electrocardiogram Multi-task Benchmark with Comprehensive Evaluations and Insightful Findings

Yuhao Xu, Jiaying Lu, Sirui Ding +3

In the process of patient diagnosis, non-invasive measurements are widely used due to their low risks and quick results. Electrocardiogram (ECG), as a non-invasive method to collec…

cs.CL2024

Measuring Spiritual Values and Bias of Large Language Models

Songyuan Liu, Ziyang Zhang, Runze Yan +3

Large language models (LLMs) have become integral tool for users from various backgrounds. LLMs, trained on vast corpora, reflect the linguistic and cultural nuances embedded in th…

cs.IR2024★ 11 cited

PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking

Yuzhang Xie, Jiaying Lu, Joyce Ho +3

Linking (aligning) biomedical concepts across diverse data sources enables various integrative analyses, but it is challenging due to the discrepancies in concept naming convention…

cs.LG2024★ 1 cited

Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling

Shifan Zhao, Jiaying Lu, Ji Yang +2

Gaussian Process Regression (GPR) is widely used in statistics and machine learning for prediction tasks requiring uncertainty measures. Its efficacy depends on the appropriate spe…

cs.CL2024★ 1 cited

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes

Darren Liu, Cheng Ding, Delgersuren Bold +16

The field of healthcare has increasingly turned its focus towards Large Language Models (LLMs) due to their remarkable performance. However, their performance in actual clinical ap…

cs.LG2024★ 40 cited

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Guangji Bai, Zheng Chai, Chen Ling +11

The burgeoning field of Large Language Models (LLMs), exemplified by sophisticated models like OpenAI's ChatGPT, represents a significant advancement in artificial intelligence. Th…

cs.SI2023

Helper Recommendation with seniority control in Online Health Community

Junruo Gao, Chen Ling, Carl Yang +1

Online health communities (OHCs) are forums where patients with similar conditions communicate their experiences and provide moral support. Social support in OHCs plays a crucial r…

cs.CV2023★ 6 cited

Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models

Jiaying Lu, Jinmeng Rao, Kezhen Chen +5

Large Vision-Language Models (LVLMs) offer remarkable benefits for a variety of vision-language tasks. However, a challenge hindering their application in real-world scenarios, par…