How to Unleash the Power of Large Language Models for Few-shot Relation
Extraction?

How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

2 May 2023

Xin Xu

Ningyu Zhang

Papers citing "How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?"

9 / 9 papers shown

Title
AmalREC: A Dataset for Relation Extraction and Classification Leveraging Amalgamation of Large Language Models Mansi Pranshu Pandya Mahek Bhavesh Vora Soumya Bharadwaj Ashish Anand 27 0 0 31 Dec 2024
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks Hao Peng Xiaozhi Wang Jianhui Chen Weikai Li Y. Qi ... Zhili Wu Kaisheng Zeng Bin Xu Lei Hou Juanzi Li 21 27 0 15 Nov 2023
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! Yubo Ma Yixin Cao YongChing Hong Aixin Sun RALM 74 85 0 15 Mar 2023
Generative Knowledge Graph Construction: A Review Hongbin Ye Ningyu Zhang Hui Chen Huajun Chen 41 68 0 23 Oct 2022
Generative Prompt Tuning for Relation Classification Jiale Han Shuai Zhao Bo Cheng Shengkun Ma Wei Lu VLM 33 24 0 22 Oct 2022
GLM-130B: An Open Bilingual Pre-trained Model Aohan Zeng Xiao Liu Zhengxiao Du Zihan Wang Hanyu Lai ... Jidong Zhai Wenguang Chen Peng-Zhen Zhang Yuxiao Dong Jie Tang BDL LRM 240 1,070 0 05 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
Co-training Improves Prompt-based Learning for Large Language Models Hunter Lang Monica Agrawal Yoon Kim David Sontag VLM LRM 152 38 0 02 Feb 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 882 0 18 Apr 2021