How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey

8 December 2023

Papers citing "How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey"

5 / 5 papers shown

Title
GLM-130B: An Open Bilingual Pre-trained Model Aohan Zeng Xiao Liu Zhengxiao Du Zihan Wang Hanyu Lai ... Jidong Zhai Wenguang Chen Peng-Zhen Zhang Yuxiao Dong Jie Tang BDL LRM 245 1,071 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 3,835 0 18 Apr 2021
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 163 0 21 Aug 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018