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Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective

8 March 2025
You Zhang
Jin Wang
Liang-Chih Yu
Dan Xu
Xuejie Zhang
ArXiv (abs)PDFHTML

Papers citing "Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective"

13 / 13 papers shown
Title
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MAVLMAI4CE
165
1,081
0
01 Nov 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
181
1,240
0
18 Jun 2021
LoRA: Low-Rank Adaptation of Large Language Models
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
OffRLAI4TSAI4CEALMAIMat
490
10,496
0
17 Jun 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
584
4,084
0
18 Apr 2021
Improving Document-Level Sentiment Analysis with User and Product
  Context
Improving Document-Level Sentiment Analysis with User and Product Context
Chenyang Lyu
Jennifer Foster
Yvette Graham
58
25
0
18 Nov 2020
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
Hong-You Chen
Wei-Lun Chao
FedML
74
262
0
04 Sep 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MAVLM
366
1,489
0
18 Mar 2020
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
677
24,541
0
26 Jul 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
Deep Learning for Sentiment Analysis : A Survey
Deep Learning for Sentiment Analysis : A Survey
Lei Zhang
Shuai Wang
Bing-Quan Liu
VLM
93
1,623
0
24 Jan 2018
Improving Review Representations with User Attention and Product
  Attention for Sentiment Classification
Improving Review Representations with User Attention and Product Attention for Sentiment Classification
Zhen Wu
Xinyu Dai
Cunyan Yin
Shujian Huang
Jiajun Chen
66
98
0
24 Jan 2018
Adversarial Multi-task Learning for Text Classification
Adversarial Multi-task Learning for Text Classification
Pengfei Liu
Xipeng Qiu
Xuanjing Huang
136
612
0
19 Apr 2017
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILawVLM
641
13,432
0
25 Aug 2014
1