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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
ArXivPDFHTML

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

50 / 2,607 papers shown
Title
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery
Yuxun Qu
Yongqiang Tang
Chenyang Zhang
Wensheng Zhang
36
0
0
29 Oct 2024
Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review
Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review
Lin Li
Xinchun Yu
Xinyu Chen
Peng Liang
37
0
0
29 Oct 2024
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
Hang Guo
Yawei Li
Tao Dai
Shu-Tao Xia
Luca Benini
MQ
39
1
0
29 Oct 2024
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA
  Optimization
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
Jui-Nan Yen
Si Si
Zhao Meng
Felix X. Yu
Sai Surya Duvvuri
Inderjit Dhillon
Cho-Jui Hsieh
Sanjiv Kumar
35
3
0
27 Oct 2024
Vector Quantization Prompting for Continual Learning
Vector Quantization Prompting for Continual Learning
L. Jiao
Qiuxia Lai
Yu LI
Qiang Xu
VLM
CLL
44
3
0
27 Oct 2024
LanFL: Differentially Private Federated Learning with Large Language
  Models using Synthetic Samples
LanFL: Differentially Private Federated Learning with Large Language Models using Synthetic Samples
Huiyu Wu
Diego Klabjan
FedML
49
0
0
24 Oct 2024
On the Crucial Role of Initialization for Matrix Factorization
On the Crucial Role of Initialization for Matrix Factorization
Bingcong Li
Liang Zhang
Aryan Mokhtari
Niao He
44
1
0
24 Oct 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Liwen Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
52
3
0
24 Oct 2024
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
Kaipeng Zhang
28
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
33
0
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
Dawei Yin
Xiang Li
Ming Gao
MU
39
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
31
0
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
FedML
MoMe
CLL
44
2
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
58
2
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
39
1
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
41
2
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
42
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
21
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
45
0
0
21 Oct 2024
Resource-Efficient Medical Report Generation using Large Language Models
Resource-Efficient Medical Report Generation using Large Language Models
Abdullah
Ameer Hamza
Seong Tae Kim
LM&MA
MedIm
31
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
34
1
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
38
2
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
34
4
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
SILM
LLMAG
54
15
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
58
3
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
33
0
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
43
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
Xianpei Han
Le Sun
MoMe
39
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
43
1
0
17 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
43
3
0
16 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
39
1
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
19
0
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
58
12
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
26
1
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
42
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
256
1
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
61
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
98
20
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
AI4TS
AI4CE
61
0
0
15 Oct 2024
Is Parameter Collision Hindering Continual Learning in LLMs?
Is Parameter Collision Hindering Continual Learning in LLMs?
Shuo Yang
Kun-Peng Ning
Yu-Yang Liu
Jia-Yu Yao
Yong-Hong Tian
Yi-Bing Song
Li Yuan
MoMe
CLL
24
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
42
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
Mojtaba Soltanalian
Niloofar Yousefi
37
0
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
AAML
VLM
26
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
37
0
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
69
11
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
26
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
33
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
26
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
54
16
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
52
0
0
12 Oct 2024
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