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A Population-to-individual Tuning Framework for Adapting Pretrained LM
  to On-device User Intent Prediction

A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction

19 August 2024
Jiahui Gong
Jingtao Ding
Fanjin Meng
Guilong Chen
Hong Chen
Shen Zhao
Haisheng Lu
Yong Li
    MU
ArXivPDFHTML

Papers citing "A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction"

4 / 4 papers shown
Title
Split Adaptation for Pre-trained Vision Transformers
Lixu Wang
Bingqi Shang
Y. Li
Payal Mohapatra
Wei Dong
Xiao-Xu Wang
Qi Zhu
ViT
43
0
0
01 Mar 2025
Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents
Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents
Chenyang Shao
Xinyuan Hu
Yutang Lin
Fengli Xu
LLMAG
LRM
67
4
0
06 Feb 2025
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation
  Framework for Efficient Device Model Generalization
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
Zheqi Lv
Wenqiao Zhang
Shengyu Zhang
Kun Kuang
Feng Wang
...
Zhengyu Chen
T. Shen
Hongxia Yang
Bengchin Ooi
Fei Wu
39
52
0
12 Sep 2022
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
280
3,848
0
18 Apr 2021
1