ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2309.03433
  4. Cited By
Improving Open Information Extraction with Large Language Models: A
  Study on Demonstration Uncertainty

Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty

7 September 2023
Chen Ling
Xujiang Zhao
Xuchao Zhang
Yanchi Liu
Wei Cheng
Haoyu Wang
Zhengzhang Chen
Takao Osaki
Katsushi Matsuda
Haifeng Chen
Liang Zhao
ArXivPDFHTML

Papers citing "Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty"

3 / 3 papers shown
Title
A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises
A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises
Hejie Cui
Jiaying Lu
Shiyu Wang
Shiyu Wang
Wenjing Ma
...
Fei Wang
Carl Yang
Mengdi Huai
Fei Wang
Carl Yang
91
12
0
07 Jun 2023
Domain Specialization as the Key to Make Large Language Models
  Disruptive: A Comprehensive Survey
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
Chen Ling
Xujiang Zhao
Jiaying Lu
Chengyuan Deng
Can Zheng
...
Chris White
Quanquan Gu
Jian Pei
Carl Yang
Liang Zhao
ALM
90
137
0
30 May 2023
A Survey on Neural Open Information Extraction: Current Status and
  Future Directions
A Survey on Neural Open Information Extraction: Current Status and Future Directions
Shaowen Zhou
Yu Bowen
Aixin Sun
Cheng Long
Jingyang Li
Haiyang Yu
Jianguo Sun
Yongbin Li
78
33
0
24 May 2022
1