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Co-training and Co-distillation for Quality Improvement and Compression
  of Language Models
v1v2 (latest)

Co-training and Co-distillation for Quality Improvement and Compression of Language Models

6 November 2023
Hayeon Lee
Rui Hou
Jongpil Kim
Davis Liang
Hongbo Zhang
Sung Ju Hwang
Alexander Min
ArXiv (abs)PDFHTML

Papers citing "Co-training and Co-distillation for Quality Improvement and Compression of Language Models"

12 / 12 papers shown
Title
A Study on Knowledge Distillation from Weak Teacher for Scaling Up
  Pre-trained Language Models
A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models
Hayeon Lee
Rui Hou
Jongpil Kim
Davis Liang
Sung Ju Hwang
Alexander Min
62
7
0
26 May 2023
MiniLMv2: Multi-Head Self-Attention Relation Distillation for
  Compressing Pretrained Transformers
MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers
Wenhui Wang
Hangbo Bao
Shaohan Huang
Li Dong
Furu Wei
MQ
103
272
0
31 Dec 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression
  of Pre-Trained Transformers
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
Wenhui Wang
Furu Wei
Li Dong
Hangbo Bao
Nan Yang
Ming Zhou
VLM
186
1,284
0
25 Feb 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
267
7,554
0
02 Oct 2019
TinyBERT: Distilling BERT for Natural Language Understanding
TinyBERT: Distilling BERT for Natural Language Understanding
Xiaoqi Jiao
Yichun Yin
Lifeng Shang
Xin Jiang
Xiao Chen
Linlin Li
F. Wang
Qun Liu
VLM
113
1,872
0
23 Sep 2019
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Mohammad Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
343
1,920
0
17 Sep 2019
Small and Practical BERT Models for Sequence Labeling
Small and Practical BERT Models for Sequence Labeling
Henry Tsai
Jason Riesa
Melvin Johnson
N. Arivazhagan
Xin Li
Amelia Archer
VLM
74
121
0
31 Aug 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
236
8,455
0
19 Jun 2019
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
Raphael Tang
Yao Lu
Linqing Liu
Lili Mou
Olga Vechtomova
Jimmy J. Lin
75
421
0
28 Mar 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
260
3,747
0
09 Jan 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
1.1K
7,201
0
20 Apr 2018
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
328
3,906
0
19 Dec 2014
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