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DPPA: Pruning Method for Large Language Model to Model Merging

DPPA: Pruning Method for Large Language Model to Model Merging

5 March 2024
Yaochen Zhu
Rui Xia
Jiajun Zhang
    MoMe
ArXivPDFHTML

Papers citing "DPPA: Pruning Method for Large Language Model to Model Merging"

6 / 6 papers shown
Title
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
Mari Ashiga
Wei Jie
Fan Wu
Vardan K. Voskanyan
Fateme Dinmohammadi
P. Brookes
Jingzhi Gong
Zheng Wang
44
0
0
13 Mar 2025
Obliviate: Neutralizing Task-agnostic Backdoors within the
  Parameter-efficient Fine-tuning Paradigm
Obliviate: Neutralizing Task-agnostic Backdoors within the Parameter-efficient Fine-tuning Paradigm
Jaehan Kim
Minkyoo Song
S. Na
Seungwon Shin
AAML
38
0
0
21 Sep 2024
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in
  the Era of Large Language Models
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models
Jinliang Lu
Ziliang Pang
Min Xiao
Yaochen Zhu
Rui Xia
Jiajun Zhang
MoMe
49
18
0
08 Jul 2024
DELLA-Merging: Reducing Interference in Model Merging through
  Magnitude-Based Sampling
DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
Pala Tej Deep
Rishabh Bhardwaj
Soujanya Poria
MoMe
32
24
0
17 Jun 2024
Task Arithmetic with LoRA for Continual Learning
Task Arithmetic with LoRA for Continual Learning
Rajas Chitale
Ankit Vaidya
Aditya Kane
Archana Ghotkar
32
13
0
04 Nov 2023
Accelerated Sparse Neural Training: A Provable and Efficient Method to
  Find N:M Transposable Masks
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
Itay Hubara
Brian Chmiel
Moshe Island
Ron Banner
S. Naor
Daniel Soudry
53
111
0
16 Feb 2021
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