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Enabling and Analyzing How to Efficiently Extract Information from
  Hybrid Long Documents with LLMs

Enabling and Analyzing How to Efficiently Extract Information from Hybrid Long Documents with LLMs

24 May 2023
C. Yue
Xinru Xu
Xiaojun Ma
Lun Du
Hengyu Liu
Zhiming Ding
Yanbing Jiang
Shi Han
Dongmei Zhang
ArXivPDFHTML

Papers citing "Enabling and Analyzing How to Efficiently Extract Information from Hybrid Long Documents with LLMs"

4 / 4 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
52
47
0
02 May 2023
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
328
4,077
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
355
3,338
0
21 Mar 2022
From Dataset Recycling to Multi-Property Extraction and Beyond
From Dataset Recycling to Multi-Property Extraction and Beyond
Tomasz Dwojak
Michal Pietruszka
Łukasz Borchmann
Jakub Chlkedowski
Filip Graliñski
50
5
0
06 Nov 2020
1