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The Power of Scale for Parameter-Efficient Prompt Tuning
v1v2 (latest)

The Power of Scale for Parameter-Efficient Prompt Tuning

18 April 2021
Brian Lester
Rami Al-Rfou
Noah Constant
    VPVLM
ArXiv (abs)PDFHTML

Papers citing "The Power of Scale for Parameter-Efficient Prompt Tuning"

50 / 2,607 papers shown
Title
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
Leander Girrbach
Yiran Huang
Stephan Alaniz
Trevor Darrell
Zeynep Akata
VLM
139
2
0
25 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
101
1
0
24 Oct 2024
AgentStore: Scalable Integration of Heterogeneous Agents As Specialized
  Generalist Computer Assistant
AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant
Chengyou Jia
Minnan Luo
Zhuohang Dang
Qiushi Sun
Fangzhi Xu
Junlin Hu
Tianbao Xie
Zhiyong Wu
LLMAG
62
12
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
181
7
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
Kai Zhang
66
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
D. Yin
Xiang Li
Ming Gao
MU
60
0
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
147
3
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
FedMLMoMeCLL
111
4
0
23 Oct 2024
Optimal Design for Reward Modeling in RLHF
Optimal Design for Reward Modeling in RLHF
Antoine Scheid
Etienne Boursier
Alain Durmus
Michael I. Jordan
Pierre Ménard
Eric Moulines
Michal Valko
OffRL
155
9
0
22 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
89
2
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
96
5
0
22 Oct 2024
AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot
  Nuclei Detection via Visual-Language Pre-trained Models
AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
Yongjian Wu
Yang Zhou
Jiya Saiyin
Bingzheng Wei
M. Lai
Jianzhong Shou
Yan Xu
VLMMedIm
109
1
0
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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
74
4
0
22 Oct 2024
In Context Learning and Reasoning for Symbolic Regression with Large Language Models
In Context Learning and Reasoning for Symbolic Regression with Large Language Models
Samiha Sharlin
Tyler R. Josephson
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118
2
0
22 Oct 2024
PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles
PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles
Li Siyan
Vethavikashini Chithrra Raghuram
Omar Khattab
Julia Hirschberg
Zhou Yu
116
13
0
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The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models
The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models
Chen Qian
Dongrui Liu
Jie Zhang
Yong Liu
Jing Shao
86
1
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
84
1
0
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Opportunities and Challenges of Generative-AI in Finance
Opportunities and Challenges of Generative-AI in Finance
Akshar Prabhu Desai
Ganesh Satish Mallya
Mohammad Luqman
Tejasvi Ravi
Nithya Kota
Pranjul Yadav
AIFin
125
4
0
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BoostAdapter: Improving Vision-Language Test-Time Adaptation via
  Regional Bootstrapping
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
Taolin Zhang
Jinqiao Wang
Hang Guo
Tao Dai
Bin Chen
Shu-Tao Xia
VLMTTA
79
0
0
20 Oct 2024
IPO: Interpretable Prompt Optimization for Vision-Language Models
IPO: Interpretable Prompt Optimization for Vision-Language Models
Yingjun Du
Wenfang Sun
Cees G. M. Snoek
VLM
72
3
0
20 Oct 2024
LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image
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Yuang Ai
Huaibo Huang
Ran He
86
5
0
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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
SILMLLMAG
94
17
0
19 Oct 2024
ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for
  Long-Term Cross-City Mobility Prediction
ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility Prediction
Haoyu He
Haozheng Luo
Qi Wang
62
1
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
71
0
0
18 Oct 2024
Fine-Tuning Language Models on Multiple Datasets for Citation Intention
  Classification
Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification
Zeren Shui
Petros Karypis
Daniel S. Karls
Mingjian Wen
Saurav Manchanda
E. Tadmor
George Karypis
46
1
0
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Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via
  Mechanistic Localization
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Phillip Guo
Aaquib Syed
Abhay Sheshadri
Aidan Ewart
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KELMMU
104
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Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via
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Xingqi Wang
Xiaoyuan Yi
Xing Xie
Jia Jia
60
1
0
16 Oct 2024
Prompt Compression for Large Language Models: A Survey
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Zongqian Li
Yinhong Liu
Yixuan Su
Nigel Collier
MQ
115
17
0
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MAX: Masked Autoencoder for X-ray Fluorescence in Geological
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An-Sheng Lee
Yu-Wen Pao
Hsuan-Tien Lin
Sofia Ya Hsuan Liou
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Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
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Yifan Yang
Zhiyu Xue
Mahnoosh Alizadeh
Zheng Zhang
Ramtin Pedarsani
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168
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Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
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Xiaohan Li
Zezhong Fan
Kai Zhao
Jianpeng Xu
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Kannan Achan
126
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Layer-wise Importance Matters: Less Memory for Better Performance in
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Kai Yao
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Jianke Zhu
56
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Eliciting Textual Descriptions from Representations of Continuous
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Enhance Graph Alignment for Large Language Models
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438
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Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations
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Tree of Attributes Prompt Learning for Vision-Language Models
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Fed-pilot: Optimizing LoRA Allocation for Efficient Federated Fine-Tuning with Heterogeneous Clients
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RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates
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SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing
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Prompt Tuning for Audio Deepfake Detection: Computationally Efficient
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Understanding Robustness of Parameter-Efficient Tuning for Image
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