Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors

24 February 2024

Papers citing "Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors"

7 / 7 papers shown

Title
Few-Shot, No Problem: Descriptive Continual Relation Extraction Nguyen Xuan Thanh Anh Duc Le Quyen Tran Thanh-Thien Le L. Van T. H. Nguyen 62 0 0 27 Feb 2025
Preserving Generalization of Language models in Few-shot Continual Relation Extraction Quyen Tran Nguyen Xuan Thanh Nguyen Hoang Anh Nam Le Hai Trung Le Linh Van Ngo Thien Huu Nguyen CLL KELM 15 5 0 01 Oct 2024
Towards Lifelong Learning of Large Language Models: A Survey Junhao Zheng Shengjie Qiu Chengming Shi Qianli Ma KELM CLL 18 14 0 10 Jun 2024
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation Peiyi Wang Yifan Song Tianyu Liu Binghuai Lin Yunbo Cao Sujian Li Zhifang Sui CLL SLR 14 22 0 10 Oct 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 238 1,898 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 248 1,382 0 21 Jan 2020