Continual Training of Language Models for Few-Shot Learning

Continual Training of Language Models for Few-Shot Learning

11 October 2022

Papers citing "Continual Training of Language Models for Few-Shot Learning"

11 / 11 papers shown

Title
Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement Le Yu Bowen Yu Haiyang Yu Fei Huang Yongbin Li MoMe 32 5 0 06 Aug 2024
CLoG: Benchmarking Continual Learning of Image Generation Models Haotian Zhang Junting Zhou Haowei Lin Hang Ye Jianhua Zhu Zihao Wang Liangcai Gao Yizhou Wang Yitao Liang DiffM VLM 37 1 0 07 Jun 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 33 31 0 27 Dec 2023
Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning Ananth Balashankar Xiao Ma Aradhana Sinha Ahmad Beirami Yao Qin Jilin Chen Alex Beutel 24 2 0 25 Oct 2023
Continual Learning of Natural Language Processing Tasks: A Survey Zixuan Ke Bin Liu KELM CLL VLM 29 68 0 23 Nov 2022
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks Zixuan Ke Hu Xu Bing-Quan Liu CLL 243 83 0 06 Dec 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning Zixuan Ke Bing-Quan Liu Nianzu Ma Hu Xu Lei Shu CLL 192 122 0 05 Dec 2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5 Chengwei Qin Shafiq R. Joty CLL 178 98 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,919 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020