1 citations · 1 across the 4 of their papers we have counts for
5 papers
When Does Better Acceptance Pay? A Controlled Study of Speculative Decoding
Yongchao Long, Chunrui Zheng, Yuxuan Zhou +10
The throughput gains of speculative decoding depend on the trade-off between acceptance length and execution latency. We ask when additional acceptance is worth the cost of obtaini…
Improving Fairness of Large Language Model-Based ICU Mortality Prediction via Case-Based Prompting
Gangxiong Zhang, Yongchao Long, Yuxi Zhou +2
Accurately predicting mortality risk in intensive care unit (ICU) patients is critical for clinical decision-making. Large language models (LLMs) are increasingly explored for clin…
Copy-Paste to Mitigate Large Language Model Hallucinations
Yongchao Long, Xian Wu, Yingying Zhang +3
While Retrieval-Augmented Generation (RAG) enables large language models (LLMs) to generate contextually grounded responses, contextual faithfulness remains challenging as LLMs may…
SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting
Shuhao Mei, Yongchao Long, Xiaoyu Xiao +6
Chronic Obstructive Pulmonary Disease (COPD), a major chronic respiratory disease with persistent airflow limitation, is a leading global cause of disability and mortality. Respira…
KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney Disease
Yongchao Long, Chao Yang, Gongzheng Tang +5
Privacy-preserving medical decision support for kidney disease requires localized deployment of large language models (LLMs) while maintaining clinical reasoning capabilities. Curr…