On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation

6 June 2021

Hai Ye

Papers citing "On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation"

36 / 36 papers shown

Title
IterIS: Iterative Inference-Solving Alignment for LoRA Merging Hongxu Chen Runshi Li Bowei Zhu Zhen Wang Long Chen MoMe 98 0 0 21 Nov 2024
LoRA-Pro: Are Low-Rank Adapters Properly Optimized? Zhengbo Wang Jian Liang Ran He Zilei Wang Tieniu Tan 52 15 0 25 Jul 2024
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners Yifei Gao Jie Ou Lei Wang Fanhua Shang Jaji Wu MQ 47 0 0 22 Jul 2024
$$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning$ $\textit{Trans-LoRA}$ : towards data-free Transferable Parameter Efficient Finetuning Runqian Wang Soumya Ghosh David D. Cox Diego Antognini Aude Oliva Rogerio Feris Leonid Karlinsky 32 1 0 27 May 2024
When LLMs Meet Cybersecurity: A Systematic Literature Review Jie Zhang Haoyu Bu Hui Wen Yu Chen Lun Li Hongsong Zhu 42 36 0 06 May 2024
Let Your Graph Do the Talking: Encoding Structured Data for LLMs Bryan Perozzi Bahare Fatemi Dustin Zelle Anton Tsitsulin Mehran Kazemi Rami Al-Rfou Jonathan J. Halcrow GNN 36 55 0 08 Feb 2024
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks Wentao Zou Qi Li Jidong Ge Chuanyi Li Xiaoyu Shen LiGuo Huang Bin Luo 24 5 0 25 Dec 2023
PrivateLoRA For Efficient Privacy Preserving LLM Yiming Wang Yu Lin Xiaodong Zeng Guannan Zhang 45 11 0 23 Nov 2023
Efficient Domain Adaptation of Sentence Embeddings Using Adapters Tim Schopf Dennis Schneider Florian Matthes 28 5 0 06 Jul 2023
Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy I. Ciucă Y. Ting 丁 Sandor Kruk K. Iyer 19 7 0 20 Jun 2023
AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning John Bosco Mugeni S. Lynden Toshiyuki Amagasa Akiyoshi Matono 18 2 0 30 May 2023
On Robustness of Finetuned Transformer-based NLP Models Pavan Kalyan Reddy Neerudu S. Oota Mounika Marreddy Venkateswara Rao Kagita Manish Gupta 26 7 0 23 May 2023
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers Chia-Chien Hung Lukas Lange Jannik Strötgen 30 9 0 22 May 2023
A Stability Analysis of Fine-Tuning a Pre-Trained Model Z. Fu Anthony Man-Cho So Nigel Collier 23 3 0 24 Jan 2023
Is GPT-3 a Good Data Annotator? Bosheng Ding Chengwei Qin Linlin Liu Yew Ken Chia Shafiq R. Joty Boyang Albert Li Lidong Bing 24 231 0 20 Dec 2022
CHAPTER: Exploiting Convolutional Neural Network Adapters for Self-supervised Speech Models Zih-Ching Chen Yu-Shun Sung Hung-yi Lee 26 16 0 01 Dec 2022
AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model Yongyu Yan Kui Xue Xiaoming Shi Qi Ye Jingping Liu Tong Ruan CLL 42 1 0 21 Nov 2022
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations Linlin Liu Xingxuan Li Megh Thakkar Xin Li Shafiq R. Joty Luo Si Lidong Bing 27 2 0 16 Nov 2022
Learning Better Intent Representations for Financial Open Intent Classification Xianzhi Li Will Aitken Xiao-Dan Zhu Stephen W. Thomas AIFin 11 8 0 25 Oct 2022
Evaluating Parameter Efficient Learning for Generation Peng-Tao Xu M. Patwary Shrimai Prabhumoye Virginia Adams R. Prenger Wei Ping Nayeon Lee M. Shoeybi Bryan Catanzaro MoE 33 3 0 25 Oct 2022
MiniALBERT: Model Distillation via Parameter-Efficient Recursive Transformers Mohammadmahdi Nouriborji Omid Rohanian Samaneh Kouchaki David A. Clifton 24 8 0 12 Oct 2022
Sparse Structure Search for Parameter-Efficient Tuning Shengding Hu Zhen Zhang Ning Ding Yadao Wang Yasheng Wang Zhiyuan Liu Maosong Sun 29 16 0 15 Jun 2022
Efficient Few-Shot Fine-Tuning for Opinion Summarization Arthur Bravzinskas Ramesh Nallapati Joey Tianyi Zhou Markus Dreyer 19 24 0 04 May 2022
Adaptable Adapters N. Moosavi Quentin Delfosse Kristian Kersting Iryna Gurevych 48 21 0 03 May 2022
IDPG: An Instance-Dependent Prompt Generation Method Zhuofeng Wu Sinong Wang Jiatao Gu Rui Hou Yuxiao Dong V. Vydiswaran Hao Ma VLM 30 58 0 09 Apr 2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models Ning Ding Yujia Qin Guang Yang Fu Wei Zonghan Yang ... Jianfei Chen Yang Liu Jie Tang Juan Li Maosong Sun 26 196 0 14 Mar 2022
ELLE: Efficient Lifelong Pre-training for Emerging Data Yujia Qin Jiajie Zhang Yankai Lin Zhiyuan Liu Peng Li Maosong Sun Jie Zhou 24 67 0 12 Mar 2022
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models Shengnan An Yifei Li Zeqi Lin Qian Liu Bei Chen Qiang Fu Weizhu Chen Nanning Zheng Jian-Guang Lou VLM AAML 34 39 0 07 Mar 2022
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? Guanzheng Chen Fangyu Liu Zaiqiao Meng Shangsong Liang 26 88 0 16 Feb 2022
TransLog: A Unified Transformer-based Framework for Log Anomaly Detection Hongcheng Guo Xin-Xue Lin Jian Yang Yi Zhuang Jiaqi Bai Tieqiao Zheng Bo Zhang Zhoujun Li 22 19 0 31 Dec 2021
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples Linlin Liu Xin Li Ruidan He Lidong Bing Shafiq R. Joty Luo Si KELM 35 18 0 22 Nov 2021
Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning Euna Jung Jaekeol Choi Wonjong Rhee 17 13 0 28 Oct 2021
Robust Transfer Learning with Pretrained Language Models through Adapters Wenjuan Han Bo Pang Ying Nian Wu 16 54 0 05 Aug 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 223 438 0 25 Sep 2019
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models Cheolhyoung Lee Kyunghyun Cho Wanmo Kang MoE 249 205 0 25 Sep 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 297 6,959 0 20 Apr 2018