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llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power
  of Large Language Models

llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models

6 June 2024
F. Villena
Luis Miranda
Claudio Aracena
ArXivPDFHTML

Papers citing "llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models"

5 / 5 papers shown
Title
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
248
340
0
01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,898
0
31 Dec 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
232
1,444
0
18 Mar 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
223
4,424
0
23 Jan 2020
1