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LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models

LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models

27 June 2024
Shouchang Guo
Sonam Damani
Keng-hao Chang
    VLM
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Papers citing "LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models"

4 / 4 papers shown
Title
Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability
Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability
Daniel Hendriks
Philipp Spitzer
Niklas Kühl
G. Satzger
27
1
0
22 Apr 2025
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures
  of Soft Prompts
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
Akari Asai
Mohammadreza Salehi
Matthew E. Peters
Hannaneh Hajishirzi
127
100
0
24 May 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
213
1,657
0
15 Oct 2021
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
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