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

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

25 October 2023

Ananth Balashankar

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

10 / 10 papers shown

Title
AdaptKeyBERT: An Attention-Based approach towards Few-Shot & Zero-Shot Domain Adaptation of KeyBERT Aman Priyanshu Supriti Vijay 37 8 0 14 Nov 2022
Measuring and Narrowing the Compositionality Gap in Language Models Ofir Press Muru Zhang Sewon Min Ludwig Schmidt Noah A. Smith M. Lewis ReLM KELM LRM 98 595 0 07 Oct 2022
A Data-Based Perspective on Transfer Learning Saachi Jain Hadi Salman Alaa Khaddaj Eric Wong Sung Min Park Aleksander Madry 44 38 0 12 Jul 2022
Unsupervised Cross-Task Generalization via Retrieval Augmentation Bill Yuchen Lin Kangmin Tan Chris Miller Beiwen Tian Xiang Ren LRM RALM 46 48 0 17 Apr 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 567 9,009 0 28 Jan 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 445 3,952 0 18 Apr 2021
UDALM: Unsupervised Domain Adaptation through Language Modeling Constantinos F. Karouzos Georgios Paraskevopoulos Alexandros Potamianos 36 57 0 14 Apr 2021
Few-shot learning through contextual data augmentation Farid Arthaud Rachel Bawden Alexandra Birch 19 12 0 31 Mar 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 164 4,167 0 01 Jan 2021
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 Joty Dragomir R. Radev Yashar Mehdad 158 96 0 24 Oct 2020