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ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures
  of Soft Prompts

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts

24 May 2022
Akari Asai
Mohammadreza Salehi
Matthew E. Peters
Hannaneh Hajishirzi
ArXivPDFHTML

Papers citing "ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts"

23 / 23 papers shown
Title
Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation
Efficient Knowledge Transfer in Multi-Task Learning through Task-Adaptive Low-Rank Representation
Xiao Zhang
Kangsheng Wang
Tianyu Hu
Huimin Ma
57
3
0
20 Apr 2025
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Enming Zhang
Liwen Cao
Yanru Wu
Zijie Zhao
Guan Wang
Yang Li
49
0
0
09 Apr 2025
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
Yashar Deldjoo
Tommaso Di Noia
89
21
0
24 Feb 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang
Haochen Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDL
UQLM
116
6
0
28 Jan 2025
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
L. Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
49
3
0
24 Oct 2024
Understanding Layer Significance in LLM Alignment
Understanding Layer Significance in LLM Alignment
Guangyuan Shi
Zexin Lu
Xiaoyu Dong
Wenlong Zhang
Xuanyu Zhang
Yujie Feng
Xiao-Ming Wu
55
2
0
23 Oct 2024
Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of
  fMRI Pre-trained Model
Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model
Zijian Dong
Yilei Wu
Zijiao Chen
Yichi Zhang
Yueming Jin
Juan Helen Zhou
36
1
0
20 Aug 2024
SETTP: Style Extraction and Tunable Inference via Dual-level
  Transferable Prompt Learning
SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning
Chunzhen Jin
Yongfeng Huang
Yaqi Wang
Peng Cao
Osmar Zaiane
VLM
36
1
0
22 Jul 2024
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
Shouchang Guo
Sonam Damani
Keng-hao Chang
VLM
30
1
0
27 Jun 2024
FDLoRA: Personalized Federated Learning of Large Language Model via Dual
  LoRA Tuning
FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning
Jiaxing Qi
Zhongzhi Luan
Shaohan Huang
Carol J. Fung
Hailong Yang
Depei Qian
32
12
0
12 Jun 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng
Zhaohui Wang
Muhan Zhang
VLM
64
70
0
03 Apr 2024
Language and Task Arithmetic with Parameter-Efficient Layers for
  Zero-Shot Summarization
Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization
Alexandra Chronopoulou
Jonas Pfeiffer
Joshua Maynez
Xinyi Wang
Sebastian Ruder
Priyanka Agrawal
MoMe
26
14
0
15 Nov 2023
Parameter-Efficient Methods for Metastases Detection from Clinical Notes
Parameter-Efficient Methods for Metastases Detection from Clinical Notes
Maede Ashofteh Barabadi
Xiaodan Zhu
Wai-Yip Chan
Amber L. Simpson
Richard K G Do
21
1
0
27 Oct 2023
Decomposed Prompt Tuning via Low-Rank Reparameterization
Decomposed Prompt Tuning via Low-Rank Reparameterization
Yao Xiao
Lu Xu
Jiaxi Li
Wei Lu
Xiaoli Li
VLM
17
6
0
16 Oct 2023
TaskWeb: Selecting Better Source Tasks for Multi-task NLP
TaskWeb: Selecting Better Source Tasks for Multi-task NLP
Joongwon Kim
Akari Asai
Gabriel Ilharco
Hannaneh Hajishirzi
26
11
0
22 May 2023
Automated Few-shot Classification with Instruction-Finetuned Language
  Models
Automated Few-shot Classification with Instruction-Finetuned Language Models
Rami Aly
Xingjian Shi
Kaixiang Lin
Aston Zhang
A. Wilson
38
9
0
21 May 2023
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
Yanchen Liu
Jing Yang
Yan Chen
Jing Liu
Huaqin Wu
MoE
47
2
0
28 Feb 2023
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model
  Adaptation
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
Qihuang Zhong
Liang Ding
Juhua Liu
Bo Du
Dacheng Tao
VLM
CLL
29
41
0
22 Aug 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
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Cer
VLM
LRM
137
277
0
15 Oct 2021
Single-dataset Experts for Multi-dataset Question Answering
Single-dataset Experts for Multi-dataset Question Answering
Dan Friedman
Ben Dodge
Danqi Chen
MoMe
132
26
0
28 Sep 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
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
297
6,959
0
20 Apr 2018
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