Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning

25 October 2023

Papers citing "Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning"

7 / 7 papers shown

Title
Continual Training of Language Models for Few-Shot Learning Zixuan Ke Haowei Lin Yijia Shao Hu Xu Lei Shu Bin Liu KELM BDL CLL 85 33 0 11 Oct 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 123 130 0 15 Dec 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation Alexander R. Fabbri Simeng Han Haoyuan Li Haoran Li Marjan Ghazvininejad Shafiq R. Joty Dragomir R. Radev Yashar Mehdad 116 93 0 24 Oct 2020