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Improving LoRA with Variational Learning

Improving LoRA with Variational Learning

17 June 2025
Bai Cong
Nico Daheim
Yuesong Shen
Rio Yokota
Mohammad Emtiyaz Khan
Thomas Möllenhoff
ArXiv (abs)PDFHTML

Papers citing "Improving LoRA with Variational Learning"

13 / 13 papers shown
Title
Uncertainty-Aware Decoding with Minimum Bayes Risk
Nico Daheim
Clara Meister
Thomas Möllenhoff
Iryna Gurevych
99
4
0
07 Mar 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang
Haizhou Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDLUQLM
212
13
0
28 Jan 2025
A Bayesian Interpretation of Adaptive Low-Rank Adaptation
A Bayesian Interpretation of Adaptive Low-Rank Adaptation
Haolin Chen
Philip N. Garner
119
2
0
16 Sep 2024
ReLoRA: High-Rank Training Through Low-Rank Updates
ReLoRA: High-Rank Training Through Low-Rank Updates
Vladislav Lialin
Namrata Shivagunde
Sherin Muckatira
Anna Rumshisky
BDL
79
115
0
11 Jul 2023
Stop Measuring Calibration When Humans Disagree
Stop Measuring Calibration When Humans Disagree
Joris Baan
Wilker Aziz
Barbara Plank
Raquel Fernández
67
56
0
28 Oct 2022
Low-rank variational Bayes correction to the Laplace method
Low-rank variational Bayes correction to the Laplace method
J. van Niekerk
Haavard Rue
BDL
52
15
0
25 Nov 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
248
4,298
0
01 Jan 2021
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
Shuo Ren
Daya Guo
Shuai Lu
Long Zhou
Shujie Liu
Duyu Tang
Neel Sundaresan
M. Zhou
Ambrosio Blanco
Shuai Ma
ELM
112
542
0
22 Sep 2020
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
Jonas Pfeiffer
Ivan Vulić
Iryna Gurevych
Sebastian Ruder
103
630
0
30 Apr 2020
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark
Kenton Lee
Ming-Wei Chang
Tom Kwiatkowski
Michael Collins
Kristina Toutanova
230
1,549
0
24 May 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
7,182
0
20 Apr 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
728
132,199
0
12 Jun 2017
Optimizing Neural Networks with Kronecker-factored Approximate Curvature
Optimizing Neural Networks with Kronecker-factored Approximate Curvature
James Martens
Roger C. Grosse
ODL
104
1,023
0
19 Mar 2015
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