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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
Behavior Backdoor for Deep Learning Models
Behavior Backdoor for Deep Learning Models
Jinqiao Wang
Pengfei Zhang
R. Tao
Jian Yang
Hao Liu
Xianglong Liu
Y. X. Wei
Yao Zhao
AAML
88
0
0
02 Dec 2024
Generative Language Models Potential for Requirement Engineering
  Applications: Insights into Current Strengths and Limitations
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations
Summra Saleem
Muhammad Nabeel Asim
L. V. Elst
Andreas Dengel
77
0
0
01 Dec 2024
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain
  Few-shot Learning through Semantic-Guided Prompting
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting
Linhai Zhuo
Zheng Wang
Yuqian Fu
Tianwen Qian
VLM
83
1
0
01 Dec 2024
Unified Parameter-Efficient Unlearning for LLMs
Chenlu Ding
Jiancan Wu
Yancheng Yuan
Jinda Lu
Kai Zhang
Alex Su
Xiang Wang
Xiangnan He
MU
KELM
102
6
0
30 Nov 2024
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
Kaustubh Ponkshe
Raghav Singhal
Eduard A. Gorbunov
Alexey Tumanov
Samuel Horváth
Praneeth Vepakomma
78
3
0
29 Nov 2024
PEFT-as-an-Attack! Jailbreaking Language Models during Federated
  Parameter-Efficient Fine-Tuning
PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning
Shenghui Li
Edith C.H. Ngai
Fanghua Ye
Thiemo Voigt
SILM
90
6
0
28 Nov 2024
Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers
Chancharik Mitra
Brandon Huang
Tianning Chai
Zhiqiu Lin
Assaf Arbelle
Rogerio Feris
Leonid Karlinsky
Trevor Darrell
Deva Ramanan
Roei Herzig
VLM
137
4
0
28 Nov 2024
SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability
  Detection Framework
SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Framework
Oualid Zaazaa
H. Bakkali
81
2
0
28 Nov 2024
Break the ID-Language Barrier: An Adaption Framework for Sequential
  Recommendation
Break the ID-Language Barrier: An Adaption Framework for Sequential Recommendation
Xiaohan Yu
Li Zhang
Xin Zhao
Yue Wang
76
2
0
27 Nov 2024
How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenario
How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenario
Shih-Heng Wang
Zih-Ching Chen
Jiatong Shi
Ming-To Chuang
Guan-Ting Lin
Kuan Po Huang
David Harwath
Shang-Wen Li
Hung-yi Lee
94
1
0
27 Nov 2024
Evaluating and Improving the Robustness of Security Attack Detectors
  Generated by LLMs
Evaluating and Improving the Robustness of Security Attack Detectors Generated by LLMs
Samuele Pasini
Jinhan Kim
Tommaso Aiello
Rocío Cabrera Lozoya
Antonino Sabetta
Paolo Tonella
70
1
0
27 Nov 2024
Instance-Aware Graph Prompt Learning
Instance-Aware Graph Prompt Learning
Jiazheng Li
Jundong Li
Chuxu Zhang
VLM
84
2
0
26 Nov 2024
One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge
  Neurons in Large Language Models
One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models
Pengfei Cao
Yuheng Chen
Zhuoran Jin
Yubo Chen
Kang Liu
Jun Zhao
KELM
78
0
0
26 Nov 2024
Soft-TransFormers for Continual Learning
Soft-TransFormers for Continual Learning
Haeyong Kang
Chang D. Yoo
CLL
93
0
0
25 Nov 2024
Predicting Emergent Capabilities by Finetuning
Predicting Emergent Capabilities by Finetuning
Charlie Snell
Eric Wallace
Dan Klein
Sergey Levine
ELM
LRM
93
4
0
25 Nov 2024
LoRA-Mini : Adaptation Matrices Decomposition and Selective Training
LoRA-Mini : Adaptation Matrices Decomposition and Selective Training
Ayush Singh
Rajdeep Aher
Shivank Garg
74
1
0
24 Nov 2024
Panther: Illuminate the Sight of Multimodal LLMs with Instruction-Guided
  Visual Prompts
Panther: Illuminate the Sight of Multimodal LLMs with Instruction-Guided Visual Prompts
Honglin Li
Yuting Gao
Chenglu Zhu
Jingdong Chen
M. Yang
Lin Yang
MLLM
93
0
0
21 Nov 2024
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
Seokil Ham
H. Kim
Sangmin Woo
Changick Kim
Mamba
282
0
0
21 Nov 2024
LightLLM: A Versatile Large Language Model for Predictive Light Sensing
LightLLM: A Versatile Large Language Model for Predictive Light Sensing
J. Hu
Hong Jia
Mahbub Hassan
Lina Yao
Brano Kusy
Wen Hu
76
0
0
20 Nov 2024
Advancing Large Language Models for Spatiotemporal and Semantic
  Association Mining of Similar Environmental Events
Advancing Large Language Models for Spatiotemporal and Semantic Association Mining of Similar Environmental Events
Yuanyuan Tian
Wenwen Li
Lei Hu
Xinyu Chen
Michael Brook
Michael Brubaker
Fan Zhang
A. Liljedahl
KELM
85
1
0
19 Nov 2024
MC-LLaVA: Multi-Concept Personalized Vision-Language Model
Ruichuan An
Sihan Yang
Ming Lu
Kai Zeng
Yulin Luo
...
Hao Liang
Qi She
Shanghang Zhang
Feiyu Xiong
Wentao Zhang
93
6
0
18 Nov 2024
Prompting and Fine-tuning Large Language Models for Automated Code
  Review Comment Generation
Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation
Md. Asif Haider
Ayesha Binte Mostofa
Sk. Sabit Bin Mosaddek
Anindya Iqbal
Toufique Ahmed
ALM
60
2
0
15 Nov 2024
Evidential Federated Learning for Skin Lesion Image Classification
Evidential Federated Learning for Skin Lesion Image Classification
Rutger Hendrix
Federica Proietto Salanitri
C. Spampinato
S. Palazzo
Ulas Bagci
VLM
FedML
31
0
0
15 Nov 2024
PTR: Precision-Driven Tool Recommendation for Large Language Models
PTR: Precision-Driven Tool Recommendation for Large Language Models
Hang Gao
Yongfeng Zhang
KELM
48
0
0
14 Nov 2024
A Practical Guide to Fine-tuning Language Models with Limited Data
A Practical Guide to Fine-tuning Language Models with Limited Data
Márton Szép
Daniel Rueckert
Rüdiger von Eisenhart-Rothe
Florian Hinterwimmer
SyDa
ALM
51
2
0
14 Nov 2024
NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs
NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs
Ruiyang Qin
Pengyu Ren
Zheyu Yan
Liu Liu
Dancheng Liu
Amir Nassereldine
Jinjun Xiong
Kai Ni
Sharon Hu
Yiyu Shi
VLM
75
1
0
12 Nov 2024
New Emerged Security and Privacy of Pre-trained Model: a Survey and
  Outlook
New Emerged Security and Privacy of Pre-trained Model: a Survey and Outlook
Meng Yang
Tianqing Zhu
Chi Liu
Wanlei Zhou
Shui Yu
Philip S. Yu
AAML
ELM
PILM
69
1
0
12 Nov 2024
On Active Privacy Auditing in Supervised Fine-tuning for White-Box
  Language Models
On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models
Qian Sun
Hanpeng Wu
Xi Sheryl Zhang
36
0
0
11 Nov 2024
Generative Adapter: Contextualizing Language Models in Parameters with A
  Single Forward Pass
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
Tong Chen
Hao Fang
Patrick Xia
Xiaodong Liu
Benjamin Van Durme
Luke Zettlemoyer
Jianfeng Gao
Hao Cheng
KELM
61
2
0
08 Nov 2024
Stepping Forward on the Last Mile
Stepping Forward on the Last Mile
Chen Feng
Shaojie Zhuo
Xiaopeng Zhang
R. Ramakrishnan
Zhaocong Yuan
Andrew Zou Li
48
0
0
06 Nov 2024
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
Masakazu Yoshimura
Teruaki Hayashi
Yota Maeda
Mamba
100
2
0
06 Nov 2024
Unified Pathological Speech Analysis with Prompt Tuning
Unified Pathological Speech Analysis with Prompt Tuning
Fei Yang
Xuenan Xu
Mengyue Wu
Kai Yu
28
0
0
05 Nov 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution
  Detection
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
Geng Yu
Jianing Zhu
Jiangchao Yao
Bo Han
OODD
51
0
0
05 Nov 2024
Scalable Efficient Training of Large Language Models with
  Low-dimensional Projected Attention
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
Xingtai Lv
Ning Ding
Kaiyan Zhang
Ermo Hua
Ganqu Cui
Bowen Zhou
42
1
0
04 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Yuchen He
Xiangfeng Wang
CLL
FedML
50
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0
04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning
  Framework
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
Yuchen He
Chuyun Shen
Xiangfeng Wang
Bo Jin
FedML
34
1
0
04 Nov 2024
Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test
  Generation: An Empirical Study
Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study
André Storhaug
Jingyue Li
ALM
53
1
0
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Expanding Sparse Tuning for Low Memory Usage
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Shufan Shen
Junshu Sun
Xiangyang Ji
Qingming Huang
Shuhui Wang
52
0
0
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RuAG: Learned-rule-augmented Generation for Large Language Models
RuAG: Learned-rule-augmented Generation for Large Language Models
Yudi Zhang
Pei Xiao
Lu Wang
Chong Zhang
Meng Fang
...
Qingwei Lin
Mykola Pechenizkiy
Dongmei Zhang
Saravan Rajmohan
Qi Zhang
LRM
43
0
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Optical Flow Representation Alignment Mamba Diffusion Model for Medical
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Lei Zhang
Lituan Wang
Minjuan Zhu
Zhenwei Zhang
VGen
MedIm
67
1
0
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Open LLMs are Necessary for Current Private Adaptations and Outperform
  their Closed Alternatives
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives
Vincent Hanke
Tom Blanchard
Franziska Boenisch
Iyiola Emmanuel Olatunji
Michael Backes
Adam Dziedzic
PILM
68
3
0
02 Nov 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular
  Property Prediction
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
Liang Wang
Qiang Liu
Shaozhen Liu
Xin Sun
Shu Wu
Liang Wang
51
2
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MoTaDual: Modality-Task Dual Alignment for Enhanced Zero-shot Composed
  Image Retrieval
MoTaDual: Modality-Task Dual Alignment for Enhanced Zero-shot Composed Image Retrieval
Haiwen Li
Zhicheng Zhao
Zhaohui Hou
33
0
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31 Oct 2024
CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning
  for Noisy Label Learning
CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning
Yeachan Kim
Junho Kim
SangKeun Lee
NoLa
AAML
47
2
0
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An Individual Identity-Driven Framework for Animal Re-Identification
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Di Zhao
Jingfeng Zhang
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MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced
  Multi-Task Learning
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Haiyan Zhao
Shuo Wang
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MoMe
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40
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SVIP: Towards Verifiable Inference of Open-source Large Language Models
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Preserving Pre-trained Representation Space: On Effectiveness of
  Prefix-tuning for Large Multi-modal Models
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Gusang Lee
Kyuhong Shim
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64
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A Hierarchical Language Model For Interpretable Graph Reasoning
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LRM
41
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