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WARP: Word-level Adversarial ReProgramming
v1v2 (latest)

WARP: Word-level Adversarial ReProgramming

Annual Meeting of the Association for Computational Linguistics (ACL), 2021
1 January 2021
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
    AAML
ArXiv (abs)PDFHTML

Papers citing "WARP: Word-level Adversarial ReProgramming"

50 / 209 papers shown
Title
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
Xun Wang
Jing Xu
Franziska Boenisch
Michael Backes
Christopher A. Choquette-Choo
Adam Dziedzic
AAML
122
0
0
19 Jun 2025
Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction
Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction
Zesheng Ye
C. Cai
Ruijiang Dong
Jianzhong Qi
Bingquan Shen
Pin-Yu Chen
Feng Liu
431
1
0
05 Jun 2025
Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
C. Cai
Zesheng Ye
Bingquan Shen
Jianzhong Qi
Feng Liu
VLM
204
1
0
01 Jun 2025
Model Reprogramming Demystified: A Neural Tangent Kernel Perspective
Model Reprogramming Demystified: A Neural Tangent Kernel Perspective
Ming-Yu Chung
Jiashuo Fan
Hancheng Ye
Qinsi Wang
Wei-Chen Shen
Chia-Mu Yu
Pin-Yu Chen
Sy-Yen Kuo
127
1
0
31 May 2025
SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA
SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA
Minrui Luo
Fuhang Kuang
Yu Wang
Zirui Liu
Tianxing He
CLL
165
0
0
29 May 2025
MoLEx: Mixture of Layer Experts for Finetuning with Sparse UpcyclingInternational Conference on Learning Representations (ICLR), 2025
R. Teo
T. Nguyen
MoE
241
3
0
14 Mar 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Yibin Wang
Haizhou Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDLUQLM
437
18
0
28 Jan 2025
GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
GaLore+++: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
Xutao Liao
Shaohui Li
Yuhui Xu
Zhi Li
Zichen Liu
You He
VLM
223
7
0
31 Dec 2024
Concept Based Continuous Prompts for Interpretable Text Classification
Concept Based Continuous Prompts for Interpretable Text Classification
Qian Chen
Dongyang Li
Xiaofeng He
224
0
0
02 Dec 2024
Bayesian-guided Label Mapping for Visual Reprogramming
Bayesian-guided Label Mapping for Visual ReprogrammingNeural Information Processing Systems (NeurIPS), 2024
C. Cai
Zesheng Ye
Bingquan Shen
Jianzhong Qi
Feng Liu
275
8
0
31 Oct 2024
Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models
Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models
Yue Li
Zhixue Zhao
Carolina Scarton
200
1
0
24 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
185
4
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 PerturbationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Guozhi Liu
Weiwei Lin
Tiansheng Huang
Ruichao Mo
Qi Mu
Li Shen
AAML
246
27
0
13 Oct 2024
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine ProjectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Yixian Shen
Qi Bi
Jia-Hong Huang
Hongyi Zhu
Andy D. Pimentel
Anuj Pathania
205
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 ModelsIEEE Circuits and Systems Magazine (IEEE CSM), 2024
Cong Guo
Feng Cheng
Zhixu Du
James Kiessling
Jonathan Ku
...
Qilin Zheng
Guanglei Zhou
Hai
Li-Wei Li
Yiran Chen
137
14
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
188
0
0
08 Oct 2024
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization
  of Scientific Topics
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific TopicsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Zhiwen You
Kanyao Han
Haotian Zhu
Bertram Ludäscher
Jana Diesner
94
2
0
02 Oct 2024
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models
Yupeng Chang
Yi-Ju Chang
Yuan Wu
ALMAI4CE
449
1
0
08 Aug 2024
CoAPT: Context Attribute words for Prompt Tuning
CoAPT: Context Attribute words for Prompt Tuning
Gun Lee
Subin An
Sungyong Baik
Soochahn Lee
VPVLMVLM
187
2
0
18 Jul 2024
From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications
From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications
Ajay Jaiswal
Yifan Wang
Zhenyu Zhang
Shiwei Liu
Runjin Chen
Jiawei Zhao
A. Grama
Yuandong Tian
Zinan Lin
202
16
0
15 Jul 2024
MAPO: Boosting Large Language Model Performance with Model-Adaptive
  Prompt Optimization
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
Yuyan Chen
Zhihao Wen
Ge Fan
Zhengyu Chen
Wei Wu
Dayiheng Liu
Zhixu Li
Bang Liu
Yanghua Xiao
185
28
0
04 Jul 2024
llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power
  of Large Language Models
llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models
F. Villena
Luis Miranda
Claudio Aracena
185
5
0
06 Jun 2024
Sample-specific Masks for Visual Reprogramming-based Prompting
Sample-specific Masks for Visual Reprogramming-based Prompting
C. Cai
Zesheng Ye
Bingquan Shen
Jianzhong Qi
Feng Liu
232
12
0
05 Jun 2024
Outlier-weighed Layerwise Sampling for LLM Fine-tuning
Outlier-weighed Layerwise Sampling for LLM Fine-tuning
Pengxiang Li
L. Yin
Xiaowei Gao
Shiwei Liu
228
10
0
28 May 2024
Bridging The Gap between Low-rank and Orthogonal Adaptation via
  Householder Reflection Adaptation
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
Shen Yuan
Haotian Liu
Hongteng Xu
166
9
0
24 May 2024
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank
  Prompt Adaptation
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation
Abhinav C. P. Jain
Swarat Chaudhuri
Thomas W. Reps
Christopher M. Jermaine
133
7
0
24 May 2024
Spectral Adapter: Fine-Tuning in Spectral Space
Spectral Adapter: Fine-Tuning in Spectral Space
Fangzhao Zhang
Mert Pilanci
159
16
0
22 May 2024
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of
  Pretrained Models in Medical Imaging Tasks
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of Pretrained Models in Medical Imaging Tasks
Haijiang Tian
Jingkun Yue
Xiaohong Liu
Guoxing Yang
Zeyu Jiang
Guangyu Wang
VLMMedIm
166
1
0
13 May 2024
Distilling Reasoning Ability from Large Language Models with Adaptive
  Thinking
Distilling Reasoning Ability from Large Language Models with Adaptive Thinking
Xiao Chen
Sihang Zhou
K. Liang
Xinwang Liu
ReLMLRM
238
10
0
14 Apr 2024
Plug and Play with Prompts: A Prompt Tuning Approach for Controlling
  Text Generation
Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation
R. Ajwani
Zining Zhu
Jonathan Rose
Frank Rudzicz
86
2
0
08 Apr 2024
FPT: Feature Prompt Tuning for Few-shot Readability Assessment
FPT: Feature Prompt Tuning for Few-shot Readability AssessmentNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Ziyang Wang
Sanwoo Lee
Hsiu-Yuan Huang
Yunfang Wu
AAMLVLM
176
1
0
03 Apr 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Fanxu Meng
Zhaohui Wang
Muhan Zhang
VLM
412
180
0
03 Apr 2024
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language
  Model Fine-Tuning
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
Boyao Wang
Xiang Liu
Shizhe Diao
Renjie Pi
Jipeng Zhang
Chi Han
Tong Zhang
241
83
0
26 Mar 2024
Event Temporal Relation Extraction based on Retrieval-Augmented on LLMs
Event Temporal Relation Extraction based on Retrieval-Augmented on LLMsIEEE International Joint Conference on Neural Network (IJCNN), 2024
Xiaobin Zhang
Liangjun Zang
Qianwen Liu
Shuchong Wei
Songlin Hu
126
3
0
22 Mar 2024
Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language
  Models
Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models
Chengzhe Feng
Yanan Sun
Ke Li
Pan Zhou
Jiancheng Lv
Aojun Lu
183
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Enhancing Joint Motion Prediction for Individuals with Limb Loss Through
  Model Reprogramming
Enhancing Joint Motion Prediction for Individuals with Limb Loss Through Model Reprogramming
Sharmita Dey
Sarath Ravindran Nair
101
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Deep Prompt Multi-task Network for Abuse Language Detection
Deep Prompt Multi-task Network for Abuse Language DetectionInternational Conference on Pattern Recognition (ICPR), 2024
Jian Zhu
Yuping Ruan
Jingfei Chang
Wenhui Sun
Hui Wan
Jian Long
Cheng Luo
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139
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Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient
  Framework for Multi-level Implicit Discourse Relation Recognition
Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition
Haodong Zhao
Ruifang He
Mengnan Xiao
Jing Xu
233
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23 Feb 2024
PromptKD: Distilling Student-Friendly Knowledge for Generative Language
  Models via Prompt Tuning
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning
Gyeongman Kim
Doohyuk Jang
Eunho Yang
VLM
207
19
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The Revolution of Multimodal Large Language Models: A Survey
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Davide Caffagni
Federico Cocchi
Luca Barsellotti
Nicholas Moratelli
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Lorenzo Baraldi
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Marcella Cornia
Rita Cucchiara
LRMVLM
208
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FIPO: Free-form Instruction-oriented Prompt Optimization with Preference
  Dataset and Modular Fine-tuning Schema
FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema
Junru Lu
Siyu An
Min Zhang
Yulan He
Di Yin
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195
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PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
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Jianchao Ji
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137
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A Novel Prompt-tuning Method: Incorporating Scenario-specific Concepts
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113
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The Butterfly Effect of Altering Prompts: How Small Changes and
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