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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
SBoRA: Low-Rank Adaptation with Regional Weight Updates
SBoRA: Low-Rank Adaptation with Regional Weight Updates
L. Po
Yuyang Liu
Haoxuan Wu
Tianqi Zhang
Weikang Yu
Zeyu Jiang
Kun Li
41
1
0
07 Jul 2024
Multimodal Prompt Learning with Missing Modalities for Sentiment
  Analysis and Emotion Recognition
Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition
Zirun Guo
Tao Jin
Zhou Zhao
39
9
0
07 Jul 2024
Mind the Interference: Retaining Pre-trained Knowledge in Parameter
  Efficient Continual Learning of Vision-Language Models
Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
Longxiang Tang
Zhuotao Tian
Kai Li
Chunming He
Hantao Zhou
Hengshuang Zhao
Xiu Li
Jiaya Jia
CLL
VLM
47
21
0
07 Jul 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
52
5
0
07 Jul 2024
AI Safety in Generative AI Large Language Models: A Survey
AI Safety in Generative AI Large Language Models: A Survey
Jaymari Chua
Yun Yvonna Li
Shiyi Yang
Chen Wang
Lina Yao
LM&MA
47
12
0
06 Jul 2024
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
Shaowen Wang
Linxi Yu
Jian Li
ALM
AI4CE
39
30
0
06 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
41
19
0
04 Jul 2024
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method
  for Pre-trained Language Models
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models
Yuyan Chen
Qiang Fu
Ge Fan
Lun Du
Jian-Guang Lou
Shi Han
Dongmei Zhang
Zhixu Li
Yanghua Xiao
MoE
36
16
0
04 Jul 2024
Deep Content Understanding Toward Entity and Aspect Target Sentiment
  Analysis on Foundation Models
Deep Content Understanding Toward Entity and Aspect Target Sentiment Analysis on Foundation Models
Vorakit Vorakitphan
Milos Basic
Guilhaume Leroy-Meline
25
1
0
04 Jul 2024
Meta-prompting Optimized Retrieval-augmented Generation
Meta-prompting Optimized Retrieval-augmented Generation
João Rodrigues
António Branco
RALM
49
0
0
04 Jul 2024
SOWA: Adapting Hierarchical Frozen Window Self-Attention to
  Visual-Language Models for Better Anomaly Detection
SOWA: Adapting Hierarchical Frozen Window Self-Attention to Visual-Language Models for Better Anomaly Detection
Zongxiang Hu
Zhaosheng Zhang
VLM
31
1
0
04 Jul 2024
The Mysterious Case of Neuron 1512: Injectable Realignment Architectures
  Reveal Internal Characteristics of Meta's Llama 2 Model
The Mysterious Case of Neuron 1512: Injectable Realignment Architectures Reveal Internal Characteristics of Meta's Llama 2 Model
Brenden Smith
Dallin Baker
Clayton Chase
Myles Barney
Kaden Parker
Makenna Allred
Peter Hu
Alex Evans
Nancy Fulda
45
0
0
04 Jul 2024
Lateralization LoRA: Interleaved Instruction Tuning with
  Modality-Specialized Adaptations
Lateralization LoRA: Interleaved Instruction Tuning with Modality-Specialized Adaptations
Zhiyang Xu
Minqian Liu
Ying Shen
Joy Rimchala
Jiaxin Zhang
Qifan Wang
Yu Cheng
Lifu Huang
VLM
39
2
0
04 Jul 2024
Robust Adaptation of Foundation Models with Black-Box Visual Prompting
Robust Adaptation of Foundation Models with Black-Box Visual Prompting
Changdae Oh
Gyeongdeok Seo
Geunyoung Jung
Zhi-Qi Cheng
Hosik Choi
Jiyoung Jung
Kyungwoo Song
VLM
49
1
0
04 Jul 2024
SOS! Soft Prompt Attack Against Open-Source Large Language Models
SOS! Soft Prompt Attack Against Open-Source Large Language Models
Ziqing Yang
Michael Backes
Yang Zhang
Ahmed Salem
AAML
40
6
0
03 Jul 2024
Improving Zero-shot Generalization of Learned Prompts via Unsupervised
  Knowledge Distillation
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
Marco Mistretta
Alberto Baldrati
Marco Bertini
Andrew D. Bagdanov
VPVLM
VLM
42
6
0
03 Jul 2024
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive
  Multimodal Knowledge Graph Completion
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion
Yu Zhao
Ying Zhang
Baohang Zhou
Xinying Qian
Kehui Song
Xiangrui Cai
42
2
0
03 Jul 2024
Whispering Experts: Neural Interventions for Toxicity Mitigation in
  Language Models
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models
Xavier Suau
Pieter Delobelle
Katherine Metcalf
Armand Joulin
N. Apostoloff
Luca Zappella
P. Rodríguez
MU
AAML
47
9
0
02 Jul 2024
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for
  Sparse Architectural Large Language Models
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models
Zihan Wang
Deli Chen
Damai Dai
Runxin Xu
Zhuoshu Li
Y. Wu
MoE
ALM
57
3
0
02 Jul 2024
HyperLoader: Integrating Hypernetwork-Based LoRA and Adapter Layers into
  Multi-Task Transformers for Sequence Labelling
HyperLoader: Integrating Hypernetwork-Based LoRA and Adapter Layers into Multi-Task Transformers for Sequence Labelling
Jesús-Germán Ortiz-Barajas
Helena Gómez-Adorno
Thamar Solorio
43
1
0
01 Jul 2024
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge
  Graphs via Adapters
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters
Daniil Gurgurov
Mareike Hartmann
Simon Ostermann
47
7
0
01 Jul 2024
Increasing Model Capacity for Free: A Simple Strategy for Parameter
  Efficient Fine-tuning
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
Haobo Song
Hao Zhao
Soumajit Majumder
Tao Lin
30
3
0
01 Jul 2024
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large
  Language Models
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
Zheng Lin
Xuanjie Hu
Yuxin Zhang
Zhe Chen
Zihan Fang
Xianhao Chen
Ang Li
Praneeth Vepakomma
Yue Gao
54
32
0
01 Jul 2024
Expressivity of Neural Networks with Random Weights and Learned Biases
Expressivity of Neural Networks with Random Weights and Learned Biases
Ezekiel Williams
Avery Hee-Woon Ryoo
Thomas Jiralerspong
Alexandre Payeur
M. Perich
Luca Mazzucato
Guillaume Lajoie
45
2
0
01 Jul 2024
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
LoPT: Low-Rank Prompt Tuning for Parameter Efficient Language Models
Shouchang Guo
Sonam Damani
Keng-hao Chang
VLM
36
1
0
27 Jun 2024
Dataset Size Recovery from LoRA Weights
Dataset Size Recovery from LoRA Weights
Mohammad Salama
Jonathan Kahana
Eliahu Horwitz
Yedid Hoshen
47
5
0
27 Jun 2024
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully
  Test-time Adaptation
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation
Yushun Tang
Shuoshuo Chen
Zhehan Kan
Yi Zhang
Qinghai Guo
Zhihai He
56
2
0
27 Jun 2024
MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video
  Anomaly Recognition with Mission-Specific Knowledge Graph Generation
MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation
Sanggeon Yun
Ryozo Masukawa
Minhyoung Na
Mohsen Imani
43
7
0
27 Jun 2024
Learn it or Leave it: Module Composition and Pruning for Continual
  Learning
Learn it or Leave it: Module Composition and Pruning for Continual Learning
Mingyang Wang
Heike Adel
Lukas Lange
Jannik Strötgen
Hinrich Schütze
CLL
KELM
44
1
0
26 Jun 2024
Octo-planner: On-device Language Model for Planner-Action Agents
Octo-planner: On-device Language Model for Planner-Action Agents
Wei Chen
Zhiyuan Li
Zhen Guo
Yikang Shen
LM&Ro
LLMAG
31
4
0
26 Jun 2024
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for
  Memory-Efficient Large Language Models Fine-Tuning
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning
Yifan Yang
Kai Zhen
Ershad Banijamal
Athanasios Mouchtaris
Zheng Zhang
44
9
0
26 Jun 2024
JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large
  Language and Vision-Language Models
JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models
Haibo Jin
Leyang Hu
Xinuo Li
Peiyan Zhang
Chonghan Chen
Jun Zhuang
Haohan Wang
PILM
43
26
0
26 Jun 2024
Catching Chameleons: Detecting Evolving Disinformation Generated using
  Large Language Models
Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models
Bohan Jiang
Chengshuai Zhao
Zhen Tan
Huan Liu
49
2
0
26 Jun 2024
Few-shot Personalization of LLMs with Mis-aligned Responses
Few-shot Personalization of LLMs with Mis-aligned Responses
Jaehyung Kim
Yiming Yang
60
8
0
26 Jun 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient
  Fine-tuning
Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning
Arijit Sehanobish
Avinava Dubey
Krzysztof Choromanski
Somnath Basu Roy Chowdhury
Deepali Jain
Vikas Sindhwani
Snigdha Chaturvedi
ALM
45
1
0
25 Jun 2024
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
Feijie Wu
Zitao Li
Yaliang Li
Bolin Ding
Jing Gao
41
43
0
25 Jun 2024
Multi-property Steering of Large Language Models with Dynamic Activation
  Composition
Multi-property Steering of Large Language Models with Dynamic Activation Composition
Daniel Scalena
Gabriele Sarti
Malvina Nissim
KELM
LLMSV
AI4CE
34
14
0
25 Jun 2024
MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment
  and Knowledge Aggregation
MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation
Yusheng Liao
Shuyang Jiang
Yanfeng Wang
Yu Wang
57
2
0
25 Jun 2024
Leveraging LLMs for Dialogue Quality Measurement
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Jinghan Jia
A. Komma
Timothy Leffel
Xujun Peng
Ajay Nagesh
Tamer Soliman
Aram Galstyan
Anoop Kumar
47
5
0
25 Jun 2024
A Comprehensive Solution to Connect Speech Encoder and Large Language
  Model for ASR
A Comprehensive Solution to Connect Speech Encoder and Large Language Model for ASR
Van Tung Pham
Yist Y. Lin
Tao Han
Wei Li
Jun Zhang
Lu Lu
Yuxuan Wang
AuLLM
45
1
0
25 Jun 2024
Leveraging Parameter-Efficient Transfer Learning for Multi-Lingual
  Text-to-Speech Adaptation
Leveraging Parameter-Efficient Transfer Learning for Multi-Lingual Text-to-Speech Adaptation
Yingting Li
Ambuj Mehrish
Bryan Chew
Bo Cheng
Soujanya Poria
45
0
0
25 Jun 2024
From Decoding to Meta-Generation: Inference-time Algorithms for Large
  Language Models
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models
Sean Welleck
Amanda Bertsch
Matthew Finlayson
Hailey Schoelkopf
Alex Xie
Graham Neubig
Ilia Kulikov
Zaid Harchaoui
38
51
0
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Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs
Ashwinee Panda
Berivan Isik
Xiangyu Qi
Sanmi Koyejo
Tsachy Weissman
Prateek Mittal
MoMe
50
15
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Data Augmentation of Multi-turn Psychological Dialogue via
  Knowledge-driven Progressive Thought Prompting
Data Augmentation of Multi-turn Psychological Dialogue via Knowledge-driven Progressive Thought Prompting
Jiyue Jiang
Liheng Chen
Sheng Wang
Lingpeng Kong
Yu Li
Chuan Wu
53
0
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On the Transformations across Reward Model, Parameter Update, and
  In-Context Prompt
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Deng Cai
Huayang Li
Tingchen Fu
Siheng Li
Weiwen Xu
...
Leyang Cui
Yan Wang
Lemao Liu
Taro Watanabe
Shuming Shi
KELM
37
2
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Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing
  Backpropagation
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Yuchen Yang
Yingdong Shi
Cheems Wang
Xiantong Zhen
Yuxuan Shi
Jun Xu
45
1
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Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
Brandon Huang
Chancharik Mitra
Assaf Arbelle
Leonid Karlinsky
Trevor Darrell
Roei Herzig
49
13
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21 Jun 2024
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction
  in RAG-based Crowdsourcing Systems
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems
Jing Yang
Yu Zhao
Linyao Yang
Xiao Wang
Long Chen
Fei-Yue Wang
LRM
28
2
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21 Jun 2024
Speech Prefix-Tuning with RNNT Loss for Improving LLM Predictions
Speech Prefix-Tuning with RNNT Loss for Improving LLM Predictions
M. Baskar
Andrew Rosenberg
Bhuvana Ramabhadran
Neeraj Gaur
Zhong Meng
39
3
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Data-Centric AI in the Age of Large Language Models
Data-Centric AI in the Age of Large Language Models
Xinyi Xu
Zhaoxuan Wu
Rui Qiao
Arun Verma
Yao Shu
...
Xiaoqiang Lin
Wenyang Hu
Zhongxiang Dai
Pang Wei Koh
Bryan Kian Hsiang Low
ALM
55
2
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20 Jun 2024
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