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ABBA: Highly Expressive Hadamard Product Adaptation for Large Language Models

ABBA: Highly Expressive Hadamard Product Adaptation for Large Language Models

20 May 2025
Raghav Singhal
Kaustubh Ponkshe
Rohit Vartak
Praneeth Vepakomma
ArXivPDFHTML

Papers citing "ABBA: Highly Expressive Hadamard Product Adaptation for Large Language Models"

32 / 32 papers shown
Title
Gemma 3 Technical Report
Gemma 3 Technical Report
Gemma Team
Aishwarya B Kamath
Johan Ferret
Shreya Pathak
Nino Vieillard
...
Harshal Tushar Lehri
Hussein Hazimeh
Ian Ballantyne
Idan Szpektor
Ivan Nardini
VLM
134
78
0
25 Mar 2025
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
Raghav Singhal
Kaustubh Ponkshe
Rohit Vartak
Lav R. Varshney
Praneeth Vepakomma
FedML
95
2
0
24 Feb 2025
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning
Kaustubh Ponkshe
Raghav Singhal
Eduard A. Gorbunov
Alexey Tumanov
Samuel Horváth
Praneeth Vepakomma
173
6
0
29 Nov 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
Yao Ni
Shan Zhang
Piotr Koniusz
362
6
0
25 Sep 2024
Gemma 2: Improving Open Language Models at a Practical Size
Gemma 2: Improving Open Language Models at a Practical Size
Gemma Team
Gemma Team Morgane Riviere
Shreya Pathak
Pier Giuseppe Sessa
Cassidy Hardin
...
Noah Fiedel
Armand Joulin
Kathleen Kenealy
Robert Dadashi
Alek Andreev
VLM
MoE
OSLM
69
772
0
31 Jul 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
92
25
0
25 Jul 2024
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
Shaowen Wang
Linxi Yu
Jian Li
ALM
AI4CE
59
41
0
06 Jul 2024
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
Klaudia Bałazy
Mohammadreza Banaei
Karl Aberer
Jacek Tabor
65
22
0
27 May 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
98
92
0
03 Apr 2024
DoRA: Weight-Decomposed Low-Rank Adaptation
DoRA: Weight-Decomposed Low-Rank Adaptation
Shih-yang Liu
Chien-Yi Wang
Hongxu Yin
Pavlo Molchanov
Yu-Chiang Frank Wang
Kwang-Ting Cheng
Min-Hung Chen
59
374
0
14 Feb 2024
A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
Damjan Kalajdzievski
ALM
45
89
0
28 Nov 2023
VeRA: Vector-based Random Matrix Adaptation
VeRA: Vector-based Random Matrix Adaptation
D. J. Kopiczko
Tijmen Blankevoort
Yuki Markus Asano
VLM
54
143
0
17 Oct 2023
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Yuhui Xu
Lingxi Xie
Xiaotao Gu
Xin Chen
Heng Chang
Hengheng Zhang
Zhensu Chen
Xiaopeng Zhang
Qi Tian
MQ
28
98
0
26 Sep 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MH
ALM
201
11,636
0
18 Jul 2023
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
43
102
0
11 Jul 2023
QLoRA: Efficient Finetuning of Quantized LLMs
QLoRA: Efficient Finetuning of Quantized LLMs
Tim Dettmers
Artidoro Pagnoni
Ari Holtzman
Luke Zettlemoyer
ALM
108
2,454
0
23 May 2023
Segment Anything
Segment Anything
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLM
VLM
248
7,047
0
05 Apr 2023
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of
  Large Language Models
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
Zhiqiang Hu
Lei Wang
Yihuai Lan
Wanyu Xu
Ee-Peng Lim
Lidong Bing
Xing Xu
Soujanya Poria
Roy Ka-wei Lee
ALM
73
249
0
04 Apr 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
531
13,788
0
15 Mar 2023
KronA: Parameter Efficient Tuning with Kronecker Adapter
KronA: Parameter Efficient Tuning with Kronecker Adapter
Ali Edalati
Marzieh S. Tahaei
I. Kobyzev
V. Nia
J. Clark
Mehdi Rezagholizadeh
60
102
0
20 Dec 2022
Language Models are General-Purpose Interfaces
Language Models are General-Purpose Interfaces
Y. Hao
Haoyu Song
Li Dong
Shaohan Huang
Zewen Chi
Wenhui Wang
Shuming Ma
Furu Wei
MLLM
43
96
0
13 Jun 2022
Training Verifiers to Solve Math Word Problems
Training Verifiers to Solve Math Word Problems
K. Cobbe
V. Kosaraju
Mohammad Bavarian
Mark Chen
Heewoo Jun
...
Jerry Tworek
Jacob Hilton
Reiichiro Nakano
Christopher Hesse
John Schulman
ReLM
OffRL
LRM
186
4,175
0
27 Oct 2021
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated
  Learning
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning
Nam Hyeon-Woo
Moon Ye-Bin
Tae-Hyun Oh
FedML
46
120
0
13 Aug 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
OffRL
AI4TS
AI4CE
ALM
AIMat
230
10,099
0
17 Jun 2021
Measuring Mathematical Problem Solving With the MATH Dataset
Measuring Mathematical Problem Solving With the MATH Dataset
Dan Hendrycks
Collin Burns
Saurav Kadavath
Akul Arora
Steven Basart
Eric Tang
D. Song
Jacob Steinhardt
ReLM
FaML
117
2,109
0
05 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
673
28,659
0
26 Feb 2021
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
256
42,038
0
03 Dec 2019
PIQA: Reasoning about Physical Commonsense in Natural Language
PIQA: Reasoning about Physical Commonsense in Natural Language
Yonatan Bisk
Rowan Zellers
Ronan Le Bras
Jianfeng Gao
Yejin Choi
OOD
LRM
84
1,724
0
26 Nov 2019
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
172
1,475
0
24 May 2019
HellaSwag: Can a Machine Really Finish Your Sentence?
HellaSwag: Can a Machine Really Finish Your Sentence?
Rowan Zellers
Ari Holtzman
Yonatan Bisk
Ali Farhadi
Yejin Choi
72
2,373
0
19 May 2019
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book
  Question Answering
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Todor Mihaylov
Peter Clark
Tushar Khot
Ashish Sabharwal
69
1,475
0
08 Sep 2018
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning
  Challenge
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Peter Clark
Isaac Cowhey
Oren Etzioni
Tushar Khot
Ashish Sabharwal
Carissa Schoenick
Oyvind Tafjord
ELM
RALM
LRM
69
2,474
0
14 Mar 2018
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