Scaled Prompt-Tuning for Few-Shot Natural Language Generation

13 September 2023

Papers citing "Scaled Prompt-Tuning for Few-Shot Natural Language Generation"

15 / 15 papers shown

Title
Training Neural Networks with Fixed Sparse Masks Yi-Lin Sung Varun Nair Colin Raffel FedML 93 208 0 18 Nov 2021
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 348 1,708 0 15 Oct 2021
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning Yuning Mao Lambert Mathias Rui Hou Amjad Almahairi Hao Ma Jiawei Han Wen-tau Yih Madian Khabsa 63 192 0 14 Oct 2021
Towards a Unified View of Parameter-Efficient Transfer Learning Junxian He Chunting Zhou Xuezhe Ma Taylor Berg-Kirkpatrick Graham Neubig AAML 129 952 0 08 Oct 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models Elad Ben-Zaken Shauli Ravfogel Yoav Goldberg 171 1,240 0 18 Jun 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 488 10,496 0 17 Jun 2021
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers Rabeeh Karimi Mahabadi James Henderson Sebastian Ruder MoE 111 492 0 08 Jun 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 584 4,077 0 18 Apr 2021
Factual Probing Is [MASK]: Learning vs. Learning to Recall Zexuan Zhong Dan Friedman Danqi Chen 50 410 0 12 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 250 4,298 0 01 Jan 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 326 352 0 01 Jan 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning Armen Aghajanyan Luke Zettlemoyer Sonal Gupta 101 570 1 22 Dec 2020
AdapterFusion: Non-Destructive Task Composition for Transfer Learning Jonas Pfeiffer Aishwarya Kamath Andreas Rucklé Kyunghyun Cho Iryna Gurevych CLL MoMe 141 858 0 01 May 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 459 20,298 0 23 Oct 2019
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 1.1K 7,196 0 20 Apr 2018