Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised
Language Understanding

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding

19 October 2023

Chengyu Wang

Xiang Li

Papers citing "Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding"

6 / 6 papers shown

Title
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 293 4,077 0 24 May 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 236 804 0 14 Oct 2021
LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners Yaqing Wang Subhabrata Mukherjee Xiaodong Liu Jing Gao Ahmed Hassan Awadallah Jianfeng Gao VLM BDL 43 10 0 12 Oct 2021
Uncertainty-Aware Reliable Text Classification Yibo Hu Latifur Khan EDL UQCV 25 33 0 15 Jul 2021
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015