SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization

23 March 2023

Papers citing "SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization"

8 / 8 papers shown

Title
DHP Benchmark: Are LLMs Good NLG Evaluators? Yicheng Wang Jiayi Yuan Yu-Neng Chuang Zhuoer Wang Yingchi Liu Mark Cusick Param Kulkarni Zhengping Ji Yasser Ibrahim Xia Hu LM&MA ELM 43 3 0 25 Aug 2024
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods Hanlei Jin Yang Zhang Dan Meng Jun Wang Jinghua Tan 68 79 0 05 Mar 2024
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data Shenghan Zhang Haoxuan Li Ruixiang Tang Sirui Ding L. Rasmy Degui Zhi Na Zou Xia Hu 16 5 0 19 Mar 2023
Ask Me Anything: A simple strategy for prompting language models Simran Arora A. Narayan Mayee F. Chen Laurel J. Orr Neel Guha Kush S. Bhatia Ines Chami Frederic Sala Christopher Ré ReLM LRM 206 206 0 05 Oct 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Matthew Cer VLM LRM 137 277 0 15 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,843 0 18 Apr 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015