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Large Language Model Is Not a Good Few-shot Information Extractor, but a
  Good Reranker for Hard Samples!

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

15 March 2023
Yubo Ma
Yixin Cao
YongChing Hong
Aixin Sun
    RALM
ArXivPDFHTML

Papers citing "Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!"

13 / 13 papers shown
Title
Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation
Oreo: A Plug-in Context Reconstructor to Enhance Retrieval-Augmented Generation
Sha Li
Naren Ramakrishnan
RALM
KELM
109
1
0
18 Feb 2025
Few-shot Event Detection: An Empirical Study and a Unified View
Few-shot Event Detection: An Empirical Study and a Unified View
Yubo Ma
Zehao Wang
Yixin Cao
Aixin Sun
37
5
0
03 May 2023
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and
  the Case of Information Extraction
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction
Martin Josifoski
Marija Sakota
Maxime Peyrard
Robert West
SyDa
43
52
0
07 Mar 2023
Recitation-Augmented Language Models
Recitation-Augmented Language Models
Zhiqing Sun
Xuezhi Wang
Yi Tay
Yiming Yang
Denny Zhou
RALM
179
50
0
04 Oct 2022
Generate rather than Retrieve: Large Language Models are Strong Context
  Generators
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W. Yu
Dan Iter
Shuohang Wang
Yichong Xu
Mingxuan Ju
Soumya Sanyal
Chenguang Zhu
Michael Zeng
Meng-Long Jiang
RALM
AIMat
197
239
0
21 Sep 2022
Large Language Models are Few-Shot Clinical Information Extractors
Large Language Models are Few-Shot Clinical Information Extractors
Monica Agrawal
S. Hegselmann
Hunter Lang
Yoon Kim
David Sontag
BDL
LM&MA
120
230
0
25 May 2022
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
271
2,712
0
24 May 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive
  Explanations
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
Jaehun Jung
Lianhui Qin
Sean Welleck
Faeze Brahman
Chandra Bhagavatula
Ronan Le Bras
Yejin Choi
ReLM
LRM
178
157
0
24 May 2022
Summarization as Indirect Supervision for Relation Extraction
Summarization as Indirect Supervision for Relation Extraction
K. Lu
I-Hung Hsu
Wenxuan Zhou
Mingyu Derek Ma
Muhao Chen
45
47
0
19 May 2022
Training language models to follow instructions with human feedback
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
270
8,441
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
276
5,177
0
28 Jan 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
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
242
882
0
18 Apr 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
256
991
0
17 Jan 2021
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