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Advancing Parameter Efficiency in Fine-tuning via Representation Editing

Advancing Parameter Efficiency in Fine-tuning via Representation Editing

23 February 2024
Muling Wu
Wenhao Liu
Xiaohua Wang
Tianlong Li
Changze Lv
Zixuan Ling
Jianhao Zhu
Cenyuan Zhang
Xiaoqing Zheng
Xuanjing Huang
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Papers citing "Advancing Parameter Efficiency in Fine-tuning via Representation Editing"

18 / 18 papers shown
Title
DeLoRA: Decoupling Angles and Strength in Low-rank Adaptation
DeLoRA: Decoupling Angles and Strength in Low-rank Adaptation
Massimo Bini
Leander Girrbach
Zeynep Akata
42
0
0
23 Mar 2025
Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models
Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models
Andy Zhou
MoMe
94
0
0
13 Mar 2025
Re-Imagining Multimodal Instruction Tuning: A Representation View
Re-Imagining Multimodal Instruction Tuning: A Representation View
Yiyang Liu
James Liang
Ruixiang Tang
Yugyung Lee
Majid Rabbani
...
Raghuveer M. Rao
Lifu Huang
Dongfang Liu
Qifan Wang
Cheng Han
135
0
0
02 Mar 2025
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
Yibo Zhong
Haoxiang Jiang
Lincan Li
Ryumei Nakada
Tianci Liu
Linjun Zhang
Huaxiu Yao
Haoyu Wang
77
2
0
24 Feb 2025
Iter-AHMCL: Alleviate Hallucination for Large Language Model via
  Iterative Model-level Contrastive Learning
Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning
Huiwen Wu
Xiaohan Li
Xiaogang Xu
Xiaogang Xu
Deyi Zhang
Zhe Liu
MLLM
CLL
VLM
37
0
0
16 Oct 2024
Tell Me What You Don't Know: Enhancing Refusal Capabilities of
  Role-Playing Agents via Representation Space Analysis and Editing
Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing
Wenhao Liu
Siyu An
Junru Lu
Muling Wu
Tianlong Li
Xiaohua Wang
Xiaoqing Zheng
Di Yin
Xing Sun
Xuanjing Huang
31
0
0
25 Sep 2024
Promoting Data and Model Privacy in Federated Learning through Quantized
  LoRA
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
Jianhao Zhu
Changze Lv
Xiaohua Wang
Muling Wu
Wenhao Liu
Tianlong Li
Zixuan Ling
Cenyuan Zhang
Xiaoqing Zheng
Xuanjing Huang
41
3
0
16 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
Aligning Large Language Models with Representation Editing: A Control
  Perspective
Aligning Large Language Models with Representation Editing: A Control Perspective
Lingkai Kong
Haorui Wang
Wenhao Mu
Yuanqi Du
Yuchen Zhuang
Yifei Zhou
Yue Song
Rongzhi Zhang
Kai Wang
Chao Zhang
32
22
0
10 Jun 2024
LoFiT: Localized Fine-tuning on LLM Representations
LoFiT: Localized Fine-tuning on LLM Representations
Fangcong Yin
Xi Ye
Greg Durrett
38
13
0
03 Jun 2024
ReFT: Representation Finetuning for Language Models
ReFT: Representation Finetuning for Language Models
Zhengxuan Wu
Aryaman Arora
Zheng Wang
Atticus Geiger
Daniel Jurafsky
Christopher D. Manning
Christopher Potts
OffRL
38
1
0
04 Apr 2024
Towards Uncovering How Large Language Model Works: An Explainability
  Perspective
Towards Uncovering How Large Language Model Works: An Explainability Perspective
Haiyan Zhao
Fan Yang
Bo Shen
Himabindu Lakkaraju
Jundong Li
35
10
0
16 Feb 2024
Tradeoffs Between Alignment and Helpfulness in Language Models with
  Representation Engineering
Tradeoffs Between Alignment and Helpfulness in Language Models with Representation Engineering
Yotam Wolf
Noam Wies
Dorin Shteyman
Binyamin Rothberg
Yoav Levine
Amnon Shashua
LLMSV
31
13
0
29 Jan 2024
Aligning Large Language Models with Human Preferences through
  Representation Engineering
Aligning Large Language Models with Human Preferences through Representation Engineering
Wenhao Liu
Xiaohua Wang
Muling Wu
Tianlong Li
Changze Lv
Zixuan Ling
Jianhao Zhu
Cenyuan Zhang
Xiaoqing Zheng
Xuanjing Huang
11
31
0
26 Dec 2023
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures
  of Soft Prompts
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
Akari Asai
Mohammadreza Salehi
Matthew E. Peters
Hannaneh Hajishirzi
130
100
0
24 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
328
11,953
0
04 Mar 2022
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
280
3,848
0
18 Apr 2021
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
297
6,959
0
20 Apr 2018
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