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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
Bo Pan
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Papers citing
"Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty"
5 / 5 papers shown
Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications
Jean-Philippe Corbeil
Asma Ben Abacha
George Michalopoulos
Phillip Swazinna
Miguel Del-Agua
...
Nathan Bodenstab
Thomas Lin
Wenxuan Teng
François Beaulieu
Paul Vozila
LM&MA
210
3
0
07 Jul 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Toghrul Abbasli
Kentaroh Toyoda
Yuan Wang
Leon Witt
Muhammad Asif Ali
Yukai Miao
Dan Li
Qingsong Wei
UQCV
627
2
0
25 Apr 2025
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models
Qingkai Min
Qipeng Guo
Xiangkun Hu
Songfang Huang
Zheng Zhang
Yue Zhang
247
6
0
04 Jun 2024
Uncertainty Quantification for In-Context Learning of Large Language Models
Chen Ling
Xujiang Zhao
Xuchao Zhang
Wei Cheng
Yanchi Liu
...
Katsushi Matsuda
Jie Ji
Guangji Bai
Bo Pan
Haifeng Chen
283
33
0
15 Feb 2024
A Survey on Open Information Extraction from Rule-based Model to Large Language Model
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Pai Liu
Wenya Gao
Wenjie Dong
Lin Ai
Wen Dong
Songfang Huang
Zongsheng Li
Ehsan Hoque
Julia Hirschberg
Yue Zhang
519
11
0
18 Aug 2022
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