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Self-training Large Language Models through Knowledge Detection

Self-training Large Language Models through Knowledge Detection

17 June 2024
Wei Jie Yeo
Teddy Ferdinan
Przemyslaw Kazienko
Ranjan Satapathy
Erik Cambria
ArXivPDFHTML

Papers citing "Self-training Large Language Models through Knowledge Detection"

6 / 6 papers shown
Title
LLM-Evaluation Tropes: Perspectives on the Validity of LLM-Evaluations
LLM-Evaluation Tropes: Perspectives on the Validity of LLM-Evaluations
Laura Dietz
Oleg Zendel
P. Bailey
Charles L. A. Clarke
Ellese Cotterill
Jeff Dalton
Faegheh Hasibi
Mark Sanderson
Nick Craswell
ELM
43
0
0
27 Apr 2025
SEA-LION: Southeast Asian Languages in One Network
SEA-LION: Southeast Asian Languages in One Network
Raymond Ng
Thanh Ngan Nguyen
Yuli Huang
Ngee Chia Tai
Wai Yi Leong
...
David Ong Tat-Wee
B. Liu
William-Chandra Tjhi
Erik Cambria
Leslie Teo
36
11
0
08 Apr 2025
VideoSAVi: Self-Aligned Video Language Models without Human Supervision
VideoSAVi: Self-Aligned Video Language Models without Human Supervision
Yogesh Kulkarni
Pooyan Fazli
VLM
98
2
0
01 Dec 2024
Towards Continual Knowledge Learning of Language Models
Towards Continual Knowledge Learning of Language Models
Joel Jang
Seonghyeon Ye
Sohee Yang
Joongbo Shin
Janghoon Han
Gyeonghun Kim
Stanley Jungkyu Choi
Minjoon Seo
CLL
KELM
222
150
0
07 Oct 2021
Revisiting Self-Training for Neural Sequence Generation
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
242
269
0
30 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
404
2,576
0
03 Sep 2019
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