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Intrinsic Dimensionality Explains the Effectiveness of Language Model
  Fine-Tuning

Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

22 December 2020
Armen Aghajanyan
Luke Zettlemoyer
Sonal Gupta
ArXivPDFHTML

Papers citing "Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning"

50 / 117 papers shown
Title
Transformers for Learning on Noisy and Task-Level Manifolds: Approximation and Generalization Insights
Transformers for Learning on Noisy and Task-Level Manifolds: Approximation and Generalization Insights
Zhaiming Shen
Alex Havrilla
Rongjie Lai
A. Cloninger
Wenjing Liao
39
0
0
06 May 2025
Integration of Large Language Models and Traditional Deep Learning for Social Determinants of Health Prediction
Integration of Large Language Models and Traditional Deep Learning for Social Determinants of Health Prediction
Paul Landes
Jimeng Sun
Adam Cross
36
0
0
06 May 2025
Communication-Efficient Wireless Federated Fine-Tuning for Large-Scale AI Models
Communication-Efficient Wireless Federated Fine-Tuning for Large-Scale AI Models
Bumjun Kim
Wan Choi
34
0
0
01 May 2025
FISH-Tuning: Enhancing PEFT Methods with Fisher Information
FISH-Tuning: Enhancing PEFT Methods with Fisher Information
Kang Xue
Ming Dong
Xinhui Tu
Tingting He
41
0
0
05 Apr 2025
Liger: Linearizing Large Language Models to Gated Recurrent Structures
Liger: Linearizing Large Language Models to Gated Recurrent Structures
Disen Lan
Weigao Sun
Jiaxi Hu
Jusen Du
Yu-Xi Cheng
69
0
0
03 Mar 2025
PaCA: Partial Connection Adaptation for Efficient Fine-Tuning
Sunghyeon Woo
Sol Namkung
Sunwoo Lee
Inho Jeong
Beomseok Kim
Dongsuk Jeon
39
0
0
28 Feb 2025
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
Yihang Gao
Michael K. Ng
Vincent Y. F. Tan
77
0
0
17 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
Si-Yang Liu
Han-Jia Ye
70
7
0
04 Feb 2025
Explaining Context Length Scaling and Bounds for Language Models
Explaining Context Length Scaling and Bounds for Language Models
Jingzhe Shi
Qinwei Ma
Hongyi Liu
Hang Zhao
Jeng-Neng Hwang
Lei Li
LRM
81
3
0
03 Feb 2025
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
Zequan Liu
Yi Zhao
Ming Tan
Wei Zhu
Aaron Xuxiang Tian
43
0
0
03 Feb 2025
RandLoRA: Full-rank parameter-efficient fine-tuning of large models
RandLoRA: Full-rank parameter-efficient fine-tuning of large models
Paul Albert
Frederic Z. Zhang
Hemanth Saratchandran
Cristian Rodriguez-Opazo
Anton van den Hengel
Ehsan Abbasnejad
111
2
0
03 Feb 2025
Memory-Efficient Fine-Tuning of Transformers via Token Selection
Memory-Efficient Fine-Tuning of Transformers via Token Selection
Antoine Simoulin
Namyong Park
Xiaoyi Liu
Grey Yang
115
0
0
31 Jan 2025
MADation: Face Morphing Attack Detection with Foundation Models
MADation: Face Morphing Attack Detection with Foundation Models
Eduarda Caldeira
Guray Ozgur
Tahar Chettaoui
Marija Ivanovska
Peter Peer
Fadi Boutros
Vitomir Štruc
Naser Damer
CVBM
47
2
1
28 Jan 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
Qin Chen
Liang Wang
Bo Zheng
Guojie Song
44
2
0
28 Jan 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
BDL
UQLM
116
8
0
28 Jan 2025
ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation
ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation
Qingtian Bian
Marcus Vinícius de Carvalho
Tieying Li
Jiaxing Xu
Hui Fang
Yiping Ke
48
0
0
25 Jan 2025
EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition
EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition
Hamid Nasiri
Peter Garraghan
41
1
0
21 Jan 2025
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP Standards
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP Standards
Omar Erak
Nouf Alabbasi
Omar Alhussein
Ismail Lotfi
Amr Hussein
Sami Muhaidat
Merouane Debbah
RALM
84
5
0
17 Jan 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Hanwen Zhong
Jiaxin Chen
Yutong Zhang
Di Huang
Yunhong Wang
MoE
44
0
0
12 Jan 2025
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
Akhiad Bercovich
Tomer Ronen
Talor Abramovich
Nir Ailon
Nave Assaf
...
Ido Shahaf
Oren Tropp
Omer Ullman Argov
Ran Zilberstein
Ran El-Yaniv
88
1
0
28 Nov 2024
FRoundation: Are Foundation Models Ready for Face Recognition?
FRoundation: Are Foundation Models Ready for Face Recognition?
Tahar Chettaoui
Naser Damer
Fadi Boutros
CVBM
41
5
0
31 Oct 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Liwen Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
49
3
0
24 Oct 2024
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations
M. Germán-Morales
A. J. Rivera-Rivas
M. J. del Jesus Díaz
C. J. Carmona
AI4TS
AI4CE
56
0
0
15 Oct 2024
Parameter Efficient Fine-tuning via Explained Variance Adaptation
Parameter Efficient Fine-tuning via Explained Variance Adaptation
Fabian Paischer
Lukas Hauzenberger
Thomas Schmied
Benedikt Alkin
Marc Peter Deisenroth
Sepp Hochreiter
42
4
0
09 Oct 2024
Collaborative and Efficient Personalization with Mixtures of Adaptors
Collaborative and Efficient Personalization with Mixtures of Adaptors
Abdulla Jasem Almansoori
Samuel Horváth
Martin Takáč
FedML
46
2
0
04 Oct 2024
Large Language Models as Markov Chains
Large Language Models as Markov Chains
Oussama Zekri
Ambroise Odonnat
Abdelhakim Benechehab
Linus Bleistein
Nicolas Boullé
I. Redko
48
10
0
03 Oct 2024
Attention layers provably solve single-location regression
Attention layers provably solve single-location regression
Pierre Marion
Raphael Berthier
Gérard Biau
Claire Boyer
194
3
0
02 Oct 2024
Geometric Signatures of Compositionality Across a Language Model's Lifetime
Geometric Signatures of Compositionality Across a Language Model's Lifetime
Jin Hwa Lee
Thomas Jiralerspong
Lei Yu
Yoshua Bengio
Emily Cheng
CoGe
87
1
0
02 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Pengxin Guo
Shuang Zeng
Y. Wang
Huijie Fan
Feifei Wang
Liangqiong Qu
FedML
47
11
0
02 Oct 2024
Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy
Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy
Bojian Li
Bo Liu
Jinghua Yue
F. Zhou
Fugen Zhou
MedIm
MDE
53
2
0
12 Sep 2024
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
Zhengbo Wang
Jian Liang
Ran He
Zilei Wang
Tieniu Tan
75
17
0
25 Jul 2024
Impact of Model Size on Fine-tuned LLM Performance in Data-to-Text
  Generation: A State-of-the-Art Investigation
Impact of Model Size on Fine-tuned LLM Performance in Data-to-Text Generation: A State-of-the-Art Investigation
Joy Mahapatra
Utpal Garain
45
8
0
19 Jul 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
Nikolaos Dimitriadis
Pascal Frossard
F. Fleuret
MoE
67
6
0
10 Jul 2024
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
Bac Nguyen
Stefan Uhlich
Fabien Cardinaux
Lukas Mauch
Marzieh Edraki
Aaron Courville
OODD
CLL
VLM
57
3
0
03 Jul 2024
Reasoning in Large Language Models: A Geometric Perspective
Reasoning in Large Language Models: A Geometric Perspective
Romain Cosentino
Sarath Shekkizhar
LRM
46
2
0
02 Jul 2024
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts
Samar Khanna
Medhanie Irgau
David B. Lobell
Stefano Ermon
VLM
32
4
0
16 Jun 2024
Talking Heads: Understanding Inter-layer Communication in Transformer Language Models
Talking Heads: Understanding Inter-layer Communication in Transformer Language Models
Jack Merullo
Carsten Eickhoff
Ellie Pavlick
58
13
0
13 Jun 2024
MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
Hanqing Wang
Zeguan Xiao
Shuo Wang
Guanhua Chen
Guanhua Chen
44
19
0
13 Jun 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
52
0
0
13 Jun 2024
Learning Fine-Grained Controllability on Speech Generation via Efficient
  Fine-Tuning
Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning
Chung-Ming Chien
Andros Tjandra
Apoorv Vyas
Matt Le
Bowen Shi
Wei-Ning Hsu
32
0
0
10 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
Yibo Yang
Xiaojie Li
Zhongzhu Zhou
Shuaiwen Leon Song
Jianlong Wu
Liqiang Nie
Guohao Li
45
6
0
07 Jun 2024
Compressible Dynamics in Deep Overparameterized Low-Rank Learning &
  Adaptation
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
Can Yaras
Peng Wang
Laura Balzano
Qing Qu
AI4CE
37
13
0
06 Jun 2024
Low-Rank Adaption on Transformer-based Oriented Object Detector for
  Satellite Onboard Processing of Remote Sensing Images
Low-Rank Adaption on Transformer-based Oriented Object Detector for Satellite Onboard Processing of Remote Sensing Images
Xinyang Pu
Feng Xu
32
3
0
04 Jun 2024
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates
Albin Soutif--Cormerais
Simone Magistri
Joost van de Weijer
Andew D. Bagdanov
40
1
0
28 May 2024
Emergence of a High-Dimensional Abstraction Phase in Language Transformers
Emergence of a High-Dimensional Abstraction Phase in Language Transformers
Emily Cheng
Diego Doimo
Corentin Kervadec
Iuri Macocco
Jade Yu
Alessandro Laio
Marco Baroni
112
11
0
24 May 2024
Leveraging Large Language Models for Multimodal Search
Leveraging Large Language Models for Multimodal Search
Oriol Barbany
Michael Huang
Xinliang Zhu
Arnab Dhua
31
9
0
24 Apr 2024
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank,
  Task-Specific Adapter Clustering
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering
Siqi Ping
Yuzhu Mao
Yang Liu
Xiao-Ping Zhang
Wenbo Ding
FedML
34
4
0
23 Apr 2024
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
Xinyu Ma
Xu Chu
Zhibang Yang
Yang Lin
Xin Gao
Junfeng Zhao
46
7
0
05 Apr 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng
Zhaohui Wang
Muhan Zhang
VLM
64
76
0
03 Apr 2024
MEDDAP: Medical Dataset Enhancement via Diversified Augmentation
  Pipeline
MEDDAP: Medical Dataset Enhancement via Diversified Augmentation Pipeline
Yasamin Medghalchi
N. Zakariaei
Arman Rahmim
I. Hacihaliloglu
MedIm
46
2
0
25 Mar 2024
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