Model Tuning or Prompt Tuning? A Study of Large Language Models for
Clinical Concept and Relation Extraction

Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction

10 October 2023

Zehao Yu

Jiang Bian

Papers citing "Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction"

6 / 6 papers shown

Title
An LLM-Powered Agent for Physiological Data Analysis: A Case Study on PPG-based Heart Rate Estimation Mohammad Feli Iman Azimi P. Liljeberg Amir M.Rahmani LLMAG LM&MA 31 0 0 18 Feb 2025
Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension C.A.I. Peng Xi Yang Zehao Yu Jiang Bian W. Hogan Yonghui Wu 121 23 0 14 Mar 2023
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequences Yikuan Li R. M. Wehbe F. Ahmad Hanyin Wang Yuan Luo VLM MedIm 145 84 0 27 Jan 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 238 805 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,844 0 18 Apr 2021
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 415 2,584 0 03 Sep 2019