The Power of Scale for Parameter-Efficient Prompt Tuning

The Power of Scale for Parameter-Efficient Prompt Tuning

18 April 2021

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

19 / 19 papers shown

Title
Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision Weicai Yan Wang Lin Zirun Guo Ye Wang Fangming Feng Xiaoda Yang Z. Wang Tao Jin DiffM 46 76 0 30 Apr 2025
Revisiting the MIMIC-IV Benchmark: Experiments Using Language Models for Electronic Health Records Jesus Lovon Thouria Ben-Haddi Jules Di Scala José G. Moreno L. Tamine 25 2 0 29 Apr 2025
YoChameleon: Personalized Vision and Language Generation Thao Nguyen Krishna Kumar Singh Jing Shi Trung H. Bui Yong Jae Lee Yuheng Li MLLM 25 0 0 29 Apr 2025
Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling Ishan Kavathekar Raghav Donakanti Ponnurangam Kumaraguru Karthik Vaidhyanathan 23 36 0 27 Apr 2025
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation Rob Romijnders Stefanos Laskaridis Ali Shahin Shamsabadi Hamed Haddadi 33 0 0 25 Apr 2025
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse Kun He Zijian Song Shuoxi Zhang J. Hopcroft CLL 36 0 0 25 Apr 2025
POET: Prompt Offset Tuning for Continual Human Action Adaptation Prachi Garg Joseph K J V. Balasubramanian Necati Cihan Camgöz Chengde Wan Kenrick Kin Weiguang Si Shugao Ma Fernando De la Torre 17 0 0 25 Apr 2025
E-InMeMo: Enhanced Prompting for Visual In-Context Learning Jiahao Zhang Bowen Wang Hong Liu Liangzhi Li Yuta Nakashima Hajime Nagahara VLM 63 0 0 25 Apr 2025
CAPO: Cost-Aware Prompt Optimization Tom Zehle Moritz Schlager Timo Heiß Matthias Feurer VLM 22 0 0 22 Apr 2025
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer Enming Zhang Liwen Cao Yanru Wu Zijie Zhao Guan Wang Yang Li 17 0 0 09 Apr 2025
Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations Zihuai Zhao Wenqi Fan Yao Wu Qing Li 37 1 0 05 Apr 2025
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning Zhekai Du Yinjie Min Jingjing Li Ke Lu Changliang Zou Liuhua Peng Tingjin Chu M. Gong 60 1 0 05 Feb 2025
Towards Interpreting Visual Information Processing in Vision-Language Models Clement Neo Luke Ong Philip H. S. Torr Mor Geva David M. Krueger Fazl Barez 32 6 0 09 Oct 2024
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning Jiashuo Li Shaokun Wang Bo Qian Yuhang He Xing Wei Qiang Wang Yihong Gong CLL 28 1 0 23 Sep 2024
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 26 83 0 27 Jun 2023
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 226 302 0 01 Jan 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 223 1,382 0 21 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 265 6,003 0 20 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 233 4,940 0 05 Dec 2016