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Generating Diverse Training Samples for Relation Extraction with Large Language Models

Generating Diverse Training Samples for Relation Extraction with Large Language Models

29 May 2025
Zexuan Li
Hongliang Dai
Piji Li
    SyDa
ArXivPDFHTML

Papers citing "Generating Diverse Training Samples for Relation Extraction with Large Language Models"

5 / 5 papers shown
Title
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?
Xin Xu
Yuqi Zhu
Xiaohan Wang
Ningyu Zhang
KELM
LRM
74
51
0
02 May 2023
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt
  Tuning
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning
Xiang Chen
Lei Li
Ningyu Zhang
Chuanqi Tan
Fei Huang
Luo Si
Huajun Chen
RALM
VLM
42
37
0
04 May 2022
Re-TACRED: Addressing Shortcomings of the TACRED Dataset
Re-TACRED: Addressing Shortcomings of the TACRED Dataset
George Stoica
Emmanouil Antonios Platanios
Barnabas Poczos
60
115
0
16 Apr 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
383
41,106
0
28 May 2020
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
346
24,160
0
26 Jul 2019
1