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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
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
50
4
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
MoE
MoMe
46
2
0
12 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
44
1
0
11 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
31
0
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
32
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
49
3
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
40
4
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
31
0
0
11 Oct 2024
Parameter-Efficient Fine-Tuning of State Space Models
Parameter-Efficient Fine-Tuning of State Space Models
Kevin Galim
Wonjun Kang
Yuchen Zeng
H. Koo
Kangwook Lee
36
4
0
11 Oct 2024
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud
  Learning
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
Dingkang Liang
Tianrui Feng
Xin Zhou
Yumeng Zhang
Zhikang Zou
Xiang Bai
36
5
0
10 Oct 2024
Scalable Representation Learning for Multimodal Tabular Transactions
Scalable Representation Learning for Multimodal Tabular Transactions
Natraj Raman
Sumitra Ganesh
Manuela Veloso
LMTD
38
0
0
10 Oct 2024
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture
Jiayi Han
Liang Du
Hongwei Du
Xiangguo Zhou
Yiwen Wu
Weibo Zheng
Donghong Han
CLL
MoMe
MoE
38
2
0
10 Oct 2024
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning
Yu-Chen Lin
Wei-Hua Li
Jun-Cheng Chen
Chu-Song Chen
37
1
0
10 Oct 2024
LecPrompt: A Prompt-based Approach for Logical Error Correction with
  CodeBERT
LecPrompt: A Prompt-based Approach for Logical Error Correction with CodeBERT
Zhenyu Xu
Victor S. Sheng
KELM
25
0
0
10 Oct 2024
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models
Extracting and Transferring Abilities For Building Multi-lingual Ability-enhanced Large Language Models
Zhipeng Chen
Liang Song
K. Zhou
Wayne Xin Zhao
Binghui Wang
Weipeng Chen
Ji-Rong Wen
68
0
0
10 Oct 2024
LLM Embeddings Improve Test-time Adaptation to Tabular $Y|X$-Shifts
LLM Embeddings Improve Test-time Adaptation to Tabular Y∣XY|XY∣X-Shifts
Yibo Zeng
Jiashuo Liu
Henry Lam
Hongseok Namkoong
LMTD
31
1
0
09 Oct 2024
Parameter-Efficient Fine-Tuning via Selective Discrete Cosine Transform
Parameter-Efficient Fine-Tuning via Selective Discrete Cosine Transform
Yixian Shen
Qi Bi
Jia-Hong Huang
Hongyi Zhu
Anuj Pathania
39
1
0
09 Oct 2024
Deep Correlated Prompting for Visual Recognition with Missing Modalities
Deep Correlated Prompting for Visual Recognition with Missing Modalities
Lianyu Hu
Tongkai Shi
Wei Feng
Fanhua Shang
Liang Wan
VLM
44
1
0
09 Oct 2024
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and
  Performance of SGD for Fine-Tuning Language Models
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models
Zeman Li
Xinwei Zhang
Peilin Zhong
Yuan Deng
Meisam Razaviyayn
Vahab Mirrokni
30
2
0
09 Oct 2024
A Survey: Collaborative Hardware and Software Design in the Era of Large
  Language Models
A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models
Cong Guo
Feng Cheng
Zhixu Du
James Kiessling
Jonathan Ku
...
Qilin Zheng
Guanglei Zhou
Hai
Li-Wei Li
Yiran Chen
33
7
0
08 Oct 2024
Manual Verbalizer Enrichment for Few-Shot Text Classification
Manual Verbalizer Enrichment for Few-Shot Text Classification
Quang Anh Nguyen
Nadi Tomeh
M. Lebbah
Thierry Charnois
Hanene Azzag
Santiago Cordoba Muñoz
VLM
35
0
0
08 Oct 2024
An Eye for an Ear: Zero-shot Audio Description Leveraging an Image
  Captioner using Audiovisual Distribution Alignment
An Eye for an Ear: Zero-shot Audio Description Leveraging an Image Captioner using Audiovisual Distribution Alignment
Hugo Malard
Michel Olvera
Stéphane Lathuilière
S. Essid
VLM
44
0
0
08 Oct 2024
Hyper Adversarial Tuning for Boosting Adversarial Robustness of
  Pretrained Large Vision Models
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models
Kangtao Lv
Huangsen Cao
Kainan Tu
Yihuai Xu
Zhimeng Zhang
Xin Ding
Yongwei Wang
MoMe
AAML
VLM
34
1
0
08 Oct 2024
Efficient Few-shot Learning for Multi-label Classification of Scientific
  Documents with Many Classes
Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes
Tim Schopf
Alexander Blatzheim
Nektarios Machner
Florian Matthes
VLM
31
1
0
08 Oct 2024
Generating Synthetic Datasets for Few-shot Prompt Tuning
Generating Synthetic Datasets for Few-shot Prompt Tuning
Xu Guo
Zilin Du
Boyang Li
Chunyan Miao
49
1
0
08 Oct 2024
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Rana Muhammad Shahroz Khan
Pingzhi Li
Sukwon Yun
Zhenyu Wang
S. Nirjon
Chau-Wai Wong
Tianlong Chen
KELM
45
2
0
08 Oct 2024
Superficial Safety Alignment Hypothesis
Superficial Safety Alignment Hypothesis
Jianwei Li
Jung-Eun Kim
31
1
0
07 Oct 2024
TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation
  Models
TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models
Rabin Adhikari
Safal Thapaliya
Manish Dhakal
Bishesh Khanal
MLLM
VLM
43
0
0
07 Oct 2024
Item Cluster-aware Prompt Learning for Session-based Recommendation
Item Cluster-aware Prompt Learning for Session-based Recommendation
Wooseong Yang
Chen Wang
Zihe Song
Weizhi Zhang
Philip S. Yu
VLM
17
0
0
07 Oct 2024
Control Large Language Models via Divide and Conquer
Control Large Language Models via Divide and Conquer
Bingxuan Li
Yiwei Wang
Tao Meng
Kai-Wei Chang
Nanyun Peng
34
0
0
06 Oct 2024
Persona Knowledge-Aligned Prompt Tuning Method for Online Debate
Persona Knowledge-Aligned Prompt Tuning Method for Online Debate
Chunkit Chan
Cheng Jiayang
Xin Liu
Yauwai Yim
Yuxin Jiang
Zheye Deng
Haoran Li
Yangqiu Song
Ginny Wong
Simon See
47
0
0
05 Oct 2024
Hyperbolic Fine-tuning for Large Language Models
Hyperbolic Fine-tuning for Large Language Models
Menglin Yang
Aosong Feng
Bo Xiong
Jihong Liu
Irwin King
Rex Ying
31
1
0
05 Oct 2024
LoRTA: Low Rank Tensor Adaptation of Large Language Models
LoRTA: Low Rank Tensor Adaptation of Large Language Models
Ignacio Hounie
Charilaos I. Kanatsoulis
Arnuv Tandon
Alejandro Ribeiro
43
0
0
05 Oct 2024
Conditional Enzyme Generation Using Protein Language Models with
  Adapters
Conditional Enzyme Generation Using Protein Language Models with Adapters
Jason Yang
Aadyot Bhatnagar
Jeffrey A. Ruffolo
Ali Madani
36
5
0
04 Oct 2024
On Unsupervised Prompt Learning for Classification with Black-box
  Language Models
On Unsupervised Prompt Learning for Classification with Black-box Language Models
Zhen-Yu Zhang
Jiandong Zhang
Huaxiu Yao
Gang Niu
Masashi Sugiyama
31
2
0
04 Oct 2024
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion
  and Prefix-Tuned VAEs
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs
Pritom Saha Akash
Kevin Chen-Chuan Chang
24
0
0
04 Oct 2024
Fine-Tuning Language Models with Differential Privacy through Adaptive
  Noise Allocation
Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation
Xianzhi Li
Ran Zmigrod
Zhiqiang Ma
Xiaomo Liu
Xiaodan Zhu
21
1
0
03 Oct 2024
Neutral residues: revisiting adapters for model extension
Neutral residues: revisiting adapters for model extension
Franck Signe Talla
Hervé Jégou
Edouard Grave
30
0
0
03 Oct 2024
Reward-RAG: Enhancing RAG with Reward Driven Supervision
Reward-RAG: Enhancing RAG with Reward Driven Supervision
Thang Nguyen
Peter Chin
Yu-Wing Tai
RALM
45
4
0
03 Oct 2024
Can Language Models Take A Hint? Prompting for Controllable
  Contextualized Commonsense Inference
Can Language Models Take A Hint? Prompting for Controllable Contextualized Commonsense Inference
Pedro Colon-Hernandez
Nanxi Liu
Chelsea Joe
Peter Chin
Claire Yin
H. Lieberman
Yida Xin
C. Breazeal
ReLM
LRM
40
1
0
03 Oct 2024
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
Minh Le
Chau Nguyen
Huy Nguyen
Quyen Tran
Trung Le
Nhat Ho
51
5
0
03 Oct 2024
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
Xinhao Yao
Hongjin Qian
Xiaolin Hu
Gengze Xu
Wei Liu
Jian Luan
Bin Wang
Yong-Jin Liu
53
0
0
03 Oct 2024
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
Changdae Oh
Yixuan Li
Kyungwoo Song
Sangdoo Yun
Dongyoon Han
OOD
MoMe
50
4
0
03 Oct 2024
Undesirable Memorization in Large Language Models: A Survey
Undesirable Memorization in Large Language Models: A Survey
Ali Satvaty
Suzan Verberne
Fatih Turkmen
ELM
PILM
102
7
0
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Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank
  Constraint?
Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?
Xi Chen
Kaituo Feng
Changsheng Li
Xunhao Lai
Xiangyu Yue
Ye Yuan
Guoren Wang
52
7
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Selective Aggregation for Low-Rank Adaptation in Federated Learning
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Pengxin Guo
Shuang Zeng
Y. Wang
Huijie Fan
Feifei Wang
Liangqiong Qu
FedML
50
11
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PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for
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PrivTuner with Homomorphic Encryption and LoRA: A P3EFT Scheme for Privacy-Preserving Parameter-Efficient Fine-Tuning of AI Foundation Models
Yang Li
Wenhan Yu
Jun Zhao
40
1
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FedPT: Federated Proxy-Tuning of Large Language Models on
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FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices
Zhidong Gao
Yu Zhang
Zhenxiao Zhang
Yanmin Gong
Yuanxiong Guo
23
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SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning
  for Surgical Phase Recognition
SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition
Shu Yang
Zhiyuan Cai
Luyang Luo
Ning Ma
Shuchang Xu
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34
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HDMoLE: Mixture of LoRA Experts with Hierarchical Routing and Dynamic Thresholds for Fine-Tuning LLM-based ASR Models
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Bingshen Mu
Kun Wei
Qijie Shao
Yong Xu
Lei Xie
MoE
47
2
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30 Sep 2024
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