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Prefix-Tuning: Optimizing Continuous Prompts for Generation

Prefix-Tuning: Optimizing Continuous Prompts for Generation

1 January 2021
Xiang Lisa Li
Percy Liang
ArXiv (abs)PDFHTML

Papers citing "Prefix-Tuning: Optimizing Continuous Prompts for Generation"

50 / 2,702 papers shown
Title
TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing
  Prompts
TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts
Yuxuan Xie
Tianhua Li
Wenqi Shao
Jianchao Tan
74
0
0
23 Oct 2024
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a
  resource-limited Context
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context
Maximilian Augustin
Syed Shakib Sarwar
Mostafa Elhoushi
Sai Qian Zhang
Yuecheng Li
B. D. Salvo
76
1
0
23 Oct 2024
Cross-model Control: Improving Multiple Large Language Models in
  One-time Training
Cross-model Control: Improving Multiple Large Language Models in One-time Training
Jiayi Wu
Hao Sun
Hengyi Cai
Lixin Su
Shuaiqiang Wang
D. Yin
Xiang Li
Ming Gao
MU
70
0
0
23 Oct 2024
Which Client is Reliable?: A Reliable and Personalized Prompt-based
  Federated Learning for Medical Image Question Answering
Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering
He Zhu
Ren Togo
Takahiro Ogawa
Miki Haseyama
MedIm
74
0
0
23 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
159
3
0
23 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Riccardo Salami
Pietro Buzzega
Matteo Mosconi
Jacopo Bonato
Luigi Sabetta
Simone Calderara
FedMLMoMeCLL
136
4
0
23 Oct 2024
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
Chuntao Ding
Xu Cao
Jianhang Xie
Linlin Fan
Shangguang Wang
Zhichao Lu
97
2
0
22 Oct 2024
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar
  Memories
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
Maurice Kraus
Felix Divo
Devendra Singh Dhami
Kristian Kersting
AI4TS
96
6
0
22 Oct 2024
Beyond Retrieval: Generating Narratives in Conversational Recommender
  Systems
Beyond Retrieval: Generating Narratives in Conversational Recommender Systems
Krishna Sayana
Raghavendra Vasudeva
Yuri Vasilevski
Kun Su
Liam Hebert
H. Pham
Ambarish Jash
Sukhdeep S. Sodhi
3DV
79
4
0
22 Oct 2024
Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis with Large Language Models
Dynamic Adaptive Rank Space Exploration for Efficient Sentiment Analysis with Large Language Models
Hongcheng Ding
Fuzhen Hu
Xuanze Zhao
Zixiao Jiang
Shamsul Nahar Abdullah
Deshinta Arrova Dewi
69
0
0
22 Oct 2024
Towards Optimal Adapter Placement for Efficient Transfer Learning
Towards Optimal Adapter Placement for Efficient Transfer Learning
Aleksandra I. Nowak
Otniel-Bogdan Mercea
Anurag Arnab
Jonas Pfeiffer
Yann N. Dauphin
Utku Evci
94
1
0
21 Oct 2024
Resource-Efficient Medical Report Generation using Large Language Models
Resource-Efficient Medical Report Generation using Large Language Models
Abdullah Abdullah
Ameer Hamza
Seong Tae Kim
LM&MAMedIm
60
0
0
21 Oct 2024
AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News
  Detection
AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection
Xiaoman Xu
Xiangrun Li
Taihang Wang
Ye Jiang
111
2
0
21 Oct 2024
LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics
LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics
Thomas Robert
M. Safaryan
Ionut-Vlad Modoranu
Dan Alistarh
ODL
92
7
0
21 Oct 2024
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric
  Learning
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric Learning
Haiwen Diao
Ying Zhang
Shang Gao
Jiawen Zhu
Long Chen
Huchuan Lu
73
5
0
20 Oct 2024
Imprompter: Tricking LLM Agents into Improper Tool Use
Imprompter: Tricking LLM Agents into Improper Tool Use
Xiaohan Fu
Shuheng Li
Zihan Wang
Yong Liu
Rajesh K. Gupta
Taylor Berg-Kirkpatrick
Earlence Fernandes
SILMLLMAG
94
17
0
19 Oct 2024
Implicit Regularization of Sharpness-Aware Minimization for
  Scale-Invariant Problems
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
Bingcong Li
Liang Zhang
Niao He
118
8
0
18 Oct 2024
A Lightweight Multi Aspect Controlled Text Generation Solution For Large
  Language Models
A Lightweight Multi Aspect Controlled Text Generation Solution For Large Language Models
Chenyang Zhang
Jiayi Lin
Haibo Tong
Bingxuan Hou
Dongyu Zhang
Jialin Li
Junli Wang
67
1
0
18 Oct 2024
Understanding the Difficulty of Low-Precision Post-Training Quantization for LLMs
Understanding the Difficulty of Low-Precision Post-Training Quantization for LLMs
Zifei Xu
Sayeh Sharify
W. Yazar
T. Webb
Xin Eric Wang
MQ
80
0
0
18 Oct 2024
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale
  Models
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models
Qiaoyu Tang
Le Yu
Bowen Yu
Hongyu Lin
Keming Lu
Yaojie Lu
Jia Zheng
Le Sun
MoMe
90
1
0
17 Oct 2024
LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for
  Parameter-Efficient Fine-Tuning
LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning
Yiming Shi
Jiwei Wei
Yujia Wu
Ran Ran
Chengwei Sun
Shiyuan He
Yang Yang
ALM
109
1
0
17 Oct 2024
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving
  Federated Low-rank Adaptation
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation
Meilu Zhu
Axiu Mao
Jun Liu
Yixuan Yuan
105
3
0
16 Oct 2024
Prompt Compression for Large Language Models: A Survey
Prompt Compression for Large Language Models: A Survey
Zongqian Li
Yinhong Liu
Yixuan Su
Nigel Collier
MQ
122
17
0
16 Oct 2024
CCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization
CCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization
Yixi Ding
Jiaying Wu
Tongyao Zhu
Yanxia Qin
Qian Liu
Min-Yen Kan
CoGe
63
0
0
16 Oct 2024
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Yifan Yang
Zhiyu Xue
Mahnoosh Alizadeh
Zheng Zhang
Ramtin Pedarsani
FedML
177
5
0
16 Oct 2024
Layer-wise Importance Matters: Less Memory for Better Performance in
  Parameter-efficient Fine-tuning of Large Language Models
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models
Kai Yao
P. Gao
Lichun Li
Yuan Zhao
Xiaofeng Wang
Wei Wang
Jianke Zhu
67
3
0
15 Oct 2024
Eliciting Textual Descriptions from Representations of Continuous
  Prompts
Eliciting Textual Descriptions from Representations of Continuous Prompts
Dana Ramati
Daniela Gottesman
Mor Geva
110
0
0
15 Oct 2024
Enhance Graph Alignment for Large Language Models
Enhance Graph Alignment for Large Language Models
Haitong Luo
Xuying Meng
Suhang Wang
Tianxiang Zhao
Fali Wang
Hanyun Cao
Yujun Zhang
442
2
0
15 Oct 2024
Tree of Attributes Prompt Learning for Vision-Language Models
Tree of Attributes Prompt Learning for Vision-Language Models
Tong Ding
Wanhua Li
Zhongqi Miao
Hanspeter Pfister
VLM
201
1
0
15 Oct 2024
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bo Chen
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao Song
158
22
0
15 Oct 2024
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations
M. Germán-Morales
A. J. Rivera-Rivas
M. J. del Jesus Díaz
C. J. Carmona
AI4TSAI4CE
310
1
0
15 Oct 2024
Is Parameter Collision Hindering Continual Learning in LLMs?
Is Parameter Collision Hindering Continual Learning in LLMs?
Shuo Yang
Hai-Jian Ke
Yu-Yang Liu
Jia-Yu Yao
Yong-Hong Tian
Yi-Bing Song
Li Yuan
MoMeCLL
112
4
0
14 Oct 2024
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
Shengwei Ji
Yujie Tian
Fei Liu
Xinlu Li
Le Wu
GNN
85
0
0
14 Oct 2024
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates
Md. Kowsher
Tara Esmaeilbeig
Chun-Nam Yu
Chen Chen
Mojtaba Soltanalian
Niloofar Yousefi
92
1
0
14 Oct 2024
Understanding Robustness of Parameter-Efficient Tuning for Image
  Classification
Understanding Robustness of Parameter-Efficient Tuning for Image Classification
Jiacheng Ruan
Xian Gao
Suncheng Xiang
Mingye Xie
Ting Liu
Yuzhuo Fu
AAMLVLM
57
0
0
13 Oct 2024
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for
  Fine-Tuning Large Language Models
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models
Fei Wang
Li Shen
Liang Ding
Chao Xue
Ye Liu
Changxing Ding
117
2
0
13 Oct 2024
Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation
Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation
Guozhi Liu
Weiwei Lin
Tiansheng Huang
Ruichao Mo
Qi Mu
Li Shen
AAML
145
17
0
13 Oct 2024
t-READi: Transformer-Powered Robust and Efficient Multimodal Inference
  for Autonomous Driving
t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Driving
Pengfei Hu
Yuhang Qian
Tianyue Zheng
Ang Li
Zhe Chen
Yue Gao
Xiuzhen Cheng
Jun Luo
97
0
0
13 Oct 2024
Empirical Study of Mutual Reinforcement Effect and Application in
  Few-shot Text Classification Tasks via Prompt
Empirical Study of Mutual Reinforcement Effect and Application in Few-shot Text Classification Tasks via Prompt
Chengguang Gan
Tatsunori Mori
77
0
0
13 Oct 2024
Towards Efficient Visual-Language Alignment of the Q-Former for Visual
  Reasoning Tasks
Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks
Sungkyung Kim
Adam Lee
Junyoung Park
Andrew Chung
Jusang Oh
Jay-Yoon Lee
61
3
0
12 Oct 2024
Fine-grained Attention I/O Complexity: Comprehensive Analysis for
  Backward Passes
Fine-grained Attention I/O Complexity: Comprehensive Analysis for Backward Passes
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao Song
Yufa Zhou
98
18
0
12 Oct 2024
Prompting Video-Language Foundation Models with Domain-specific
  Fine-grained Heuristics for Video Question Answering
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering
Ting Yu
Kunhao Fu
Shuhui Wang
Qingming Huang
Jun Yu
127
2
0
12 Oct 2024
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
Wenlong Deng
Yize Zhao
V. Vakilian
Minghui Chen
Xiaoxiao Li
Christos Thrampoulidis
238
7
0
12 Oct 2024
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
Yaming Yang
Dilxat Muhtar
Yelong Shen
Yuefeng Zhan
Jianfeng Liu
...
Denvy Deng
Feng Sun
Qi Zhang
Weizhu Chen
Yunhai Tong
MoEMoMe
155
5
0
12 Oct 2024
Extra Global Attention Designation Using Keyword Detection in Sparse
  Transformer Architectures
Extra Global Attention Designation Using Keyword Detection in Sparse Transformer Architectures
Evan Lucas
Dylan Kangas
Timothy C Havens
72
1
0
11 Oct 2024
Calibrated Cache Model for Few-Shot Vision-Language Model Adaptation
Calibrated Cache Model for Few-Shot Vision-Language Model Adaptation
Kun Ding
Qiang Yu
Haojian Zhang
Gaofeng Meng
Shiming Xiang
VLM
77
0
0
11 Oct 2024
StraGo: Harnessing Strategic Guidance for Prompt Optimization
StraGo: Harnessing Strategic Guidance for Prompt Optimization
Yurong Wu
Yan Gao
Bin Benjamin Zhu
Zineng Zhou
Xiaodi Sun
Sheng Yang
Jian-Guang Lou
Zhiming Ding
Linjun Yang
LLMAG
88
6
0
11 Oct 2024
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic
  Knowledge Tuning
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
Nusrat Jahan Prottasha
Asif Mahmud
Md. Shohanur Islam Sobuj
Prakash Bhat
Md. Kowsher
Niloofar Yousefi
O. Garibay
121
7
0
11 Oct 2024
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge
  Graphs
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs
Ran Liu
Zhongzhou Liu
Xiaoli Li
Yuan Fang
90
0
0
11 Oct 2024
Zeroth-Order Fine-Tuning of LLMs in Random Subspaces
Zeroth-Order Fine-Tuning of LLMs in Random Subspaces
Ziming Yu
Pan Zhou
Sike Wang
Jia Li
Hua Huang
Hua Huang
84
0
0
11 Oct 2024
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