Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2401.12200
Cited By
APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
22 January 2024
Bowen Zhao
Hannaneh Hajishirzi
Qingqing Cao
Re-assign community
ArXiv
PDF
HTML
Papers citing
"APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference"
7 / 7 papers shown
Title
PaperBench: Evaluating AI's Ability to Replicate AI Research
Giulio Starace
Oliver Jaffe
Dane Sherburn
James Aung
Jun Shern Chan
...
Benjamin Kinsella
Wyatt Thompson
Johannes Heidecke
Amelia Glaese
Tejal Patwardhan
ALM
ELM
785
6
0
02 Apr 2025
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models
Xingrun Xing
Zheng Liu
Shitao Xiao
Boyan Gao
Yiming Liang
Wanpeng Zhang
Haokun Lin
Guoqi Li
Jiajun Zhang
LRM
56
1
0
10 Feb 2025
OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
Stephen Zhang
V. Papyan
VLM
43
1
0
20 Sep 2024
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
Naibin Gu
Peng Fu
Xiyu Liu
Bowen Shen
Zheng-Shen Lin
Weiping Wang
30
6
0
06 Jun 2024
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,835
0
18 Apr 2021
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
226
4,424
0
23 Jan 2020
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
294
6,943
0
20 Apr 2018
1