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Robust Transfer Learning with Pretrained Language Models through
  Adapters

Robust Transfer Learning with Pretrained Language Models through Adapters

Annual Meeting of the Association for Computational Linguistics (ACL), 2021
5 August 2021
Wenjuan Han
Bo Pang
Ying Nian Wu
ArXiv (abs)PDFHTML

Papers citing "Robust Transfer Learning with Pretrained Language Models through Adapters"

34 / 34 papers shown
Title
CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models
CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models
Joao Valente
Atabak Dehban
Rodrigo Ventura
64
1
0
29 Aug 2025
Optimal Transfer Learning for Missing Not-at-Random Matrix Completion
Akhil Jalan
Yassir Jedra
Arya Mazumdar
Soumendu Sundar Mukherjee
Purnamrita Sarkar
897
2
0
28 Feb 2025
Adapter-based Approaches to Knowledge-enhanced Language Models -- A
  Survey
Adapter-based Approaches to Knowledge-enhanced Language Models -- A SurveyInternational Conference on Knowledge Engineering and Ontology Development (KEOD), 2024
Alexander Fichtl
Juraj Vladika
Georg Groh
KELM
317
1
0
25 Nov 2024
Resource Allocation for Stable LLM Training in Mobile Edge Computing
Resource Allocation for Stable LLM Training in Mobile Edge ComputingACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2024
Chang Liu
Jun Zhao
152
12
0
30 Sep 2024
TF-Attack: Transferable and Fast Adversarial Attacks on Large Language
  Models
TF-Attack: Transferable and Fast Adversarial Attacks on Large Language ModelsKnowledge-Based Systems (KBS), 2024
Zelin Li
Kehai Chen
Lemao Liu
Xuefeng Bai
Mingming Yang
Yang Xiang
Min Zhang
AAML
335
6
0
26 Aug 2024
Rethinking ChatGPT's Success: Usability and Cognitive Behaviors Enabled
  by Auto-regressive LLMs' Prompting
Rethinking ChatGPT's Success: Usability and Cognitive Behaviors Enabled by Auto-regressive LLMs' Prompting
Xinzhe Li
Ming Liu
237
1
0
17 May 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Kushagra Pandey
Robert Bamler
Sina Daubener
...
Yixin Wang
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
728
40
0
28 Feb 2024
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case
  Study in Political Bias
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias
Nannan Huang
Haytham M. Fayek
Xiuzhen Zhang
179
7
0
01 Feb 2024
Effective Controllable Bias Mitigation for Classification and Retrieval
  using Gate Adapters
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate AdaptersConference of the European Chapter of the Association for Computational Linguistics (EACL), 2024
Shahed Masoudian
Cornelia Volaucnik
Markus Schedl
Navid Rekabsaz
295
9
0
29 Jan 2024
Astraios: Parameter-Efficient Instruction Tuning Code Large Language
  Models
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models
Terry Yue Zhuo
A. Zebaze
Nitchakarn Suppattarachai
Leandro von Werra
H. D. Vries
Qian Liu
Niklas Muennighoff
ALM
260
29
0
01 Jan 2024
On Surgical Fine-tuning for Language Encoders
On Surgical Fine-tuning for Language EncodersConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Abhilasha Lodha
Gayatri Belapurkar
Saloni Chalkapurkar
Yuanming Tao
Reshmi Ghosh
Samyadeep Basu
Dmitrii Petrov
Soundararajan Srinivasan
137
9
0
25 Oct 2023
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting
  Pre-trained Language Models
Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Raymond Li
Gabriel Murray
Giuseppe Carenini
MoE
153
4
0
24 Oct 2023
Should ChatGPT and Bard Share Revenue with Their Data Providers? A New
  Business Model for the AI Era
Should ChatGPT and Bard Share Revenue with Their Data Providers? A New Business Model for the AI EraAdvances in Artificial Intelligence and Machine Learning (AAIML), 2023
Dong Zhang
120
5
0
04 May 2023
One Adapter for All Programming Languages? Adapter Tuning for Code
  Search and Summarization
One Adapter for All Programming Languages? Adapter Tuning for Code Search and SummarizationInternational Conference on Software Engineering (ICSE), 2023
Deze Wang
Boxing Chen
Shanshan Li
Wei Luo
Shaoliang Peng
Wei Dong
Xiang-ke Liao
127
51
0
28 Mar 2023
Parameter-Efficient Sparse Retrievers and Rerankers using Adapters
Parameter-Efficient Sparse Retrievers and Rerankers using AdaptersEuropean Conference on Information Retrieval (ECIR), 2023
Vaishali Pal
Carlos Lassance
Hervé Déjean
Stéphane Clinchant
316
3
0
23 Mar 2023
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMeOOD
421
102
0
22 Feb 2023
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
Parameter-efficient Modularised Bias Mitigation via AdapterFusionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Deepak Kumar
Oleg Lesota
George Zerveas
Daniel Cohen
Carsten Eickhoff
Markus Schedl
Navid Rekabsaz
MoMeKELM
236
33
0
13 Feb 2023
UDApter -- Efficient Domain Adaptation Using Adapters
UDApter -- Efficient Domain Adaptation Using AdaptersConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Bhavitvya Malik
Abhinav Ramesh Kashyap
MingSung Kan
Soujanya Poria
252
18
0
07 Feb 2023
A Stability Analysis of Fine-Tuning a Pre-Trained Model
A Stability Analysis of Fine-Tuning a Pre-Trained Model
Z. Fu
Anthony Man-Cho So
Nigel Collier
178
4
0
24 Jan 2023
Transfer learning for conflict and duplicate detection in software
  requirement pairs
Transfer learning for conflict and duplicate detection in software requirement pairsSocial Science Research Network (SSRN), 2023
G. Malik
Savaş Yıldırım
Mucahit Cevik
A. Bener
D. Parikh
121
5
0
09 Jan 2023
Soft Alignment Objectives for Robust Adaptation of Language Generation
Soft Alignment Objectives for Robust Adaptation of Language GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Michal vStefánik
Marek Kadlcík
Petr Sojka
216
4
0
29 Nov 2022
Towards continually learning new languages
Towards continually learning new languagesInterspeech (Interspeech), 2022
Ngoc-Quan Pham
Jan Niehues
A. Waibel
CLL
341
4
0
21 Nov 2022
Parameter-Efficient Tuning on Layer Normalization for Pre-trained
  Language Models
Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models
Wang Qi
Yu-Ping Ruan
Y. Zuo
Taihao Li
253
25
0
16 Nov 2022
Evaluating Parameter Efficient Learning for Generation
Evaluating Parameter Efficient Learning for GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Peng Xu
M. Patwary
Shrimai Prabhumoye
Virginia Adams
R. Prenger
Ming-Yu Liu
Nayeon Lee
Mohammad Shoeybi
Bryan Catanzaro
MoE
160
3
0
25 Oct 2022
Language Chameleon: Transformation analysis between languages using
  Cross-lingual Post-training based on Pre-trained language models
Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language models
Suhyune Son
Chanjun Park
Jungseob Lee
Midan Shim
Chanhee Lee
Yoonna Jang
Jaehyung Seo
Heu-Jeoung Lim
171
0
0
14 Sep 2022
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks
Modular and On-demand Bias Mitigation with Attribute-Removal SubnetworksAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Lukas Hauzenberger
Shahed Masoudian
Deepak Kumar
Markus Schedl
Navid Rekabsaz
306
21
0
30 May 2022
Clinical Prompt Learning with Frozen Language Models
Clinical Prompt Learning with Frozen Language Models
Niall Taylor
Yi Zhang
Dan W Joyce
A. Nevado-Holgado
Andrey Kormilitzin
VLMLM&MA
127
37
0
11 May 2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for
  Pre-trained Language Models
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
322
225
0
14 Mar 2022
Using calibrator to improve robustness in Machine Reading Comprehension
Using calibrator to improve robustness in Machine Reading Comprehension
Jing Jin
Houfeng Wang
AAML
113
0
0
24 Feb 2022
Revisiting Parameter-Efficient Tuning: Are We Really There Yet?
Revisiting Parameter-Efficient Tuning: Are We Really There Yet?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Guanzheng Chen
Fangyu Liu
Zaiqiao Meng
Shangsong Liang
231
109
0
16 Feb 2022
Common Sense Knowledge Learning for Open Vocabulary Neural Reasoning: A
  First View into Chronic Disease Literature
Common Sense Knowledge Learning for Open Vocabulary Neural Reasoning: A First View into Chronic Disease Literature
Ignacio Arroyo-Fernández
José Armando Sánchez-Rojas
Arturo Tellez-Velázquez
Flavio Juárez-Martínez
Raúl Cruz-Barbosa
Enrique Guzmán-Ramírez
Yalbi Itzel Balderas-Martínez
LRM
147
0
0
27 Nov 2021
Unsupervised Domain Adaptation with Adapter
Unsupervised Domain Adaptation with Adapter
Rongsheng Zhang
Yinhe Zheng
Xiaoxi Mao
Shiyu Huang
155
19
0
01 Nov 2021
Efficient Attribute Injection for Pretrained Language Models
Efficient Attribute Injection for Pretrained Language Models
Reinald Kim Amplayo
Kang Min Yoo
Sang-Woo Lee
106
0
0
16 Sep 2021
AdapterHub Playground: Simple and Flexible Few-Shot Learning with
  Adapters
AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters
Tilman Beck
Bela Bohlender
Christina Viehmann
Vincent Hane
Yanik Adamson
Jaber Khuri
Jonas Brossmann
Jonas Pfeiffer
Iryna Gurevych
191
16
0
18 Aug 2021
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