Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models

12 July 2024

Papers citing "Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models"

6 / 6 papers shown

Title
GPT-RE: In-context Learning for Relation Extraction using Large Language Models Michele Focchi Fei Cheng Zhuoyuan Mao Qianying Liu Haiyue Song Jiwei Li Sadao Kurohashi LRM 36 90 0 03 May 2023
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction? Xin Xu Yuqi Zhu Xiaohan Wang Ningyu Zhang KELM LRM 43 45 0 02 May 2023
Generative Prompt Tuning for Relation Classification Jiale Han Shuai Zhao Bo Cheng Shengkun Ma Wei Lu VLM 33 24 0 22 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020