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MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors

MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors

29 May 2024
Renzhi Wang
Piji Li
    KELM
ArXivPDFHTML

Papers citing "MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors"

8 / 8 papers shown
Title
Knowledge Updating? No More Model Editing! Just Selective Contextual Reasoning
Guoxiu He
Xin Song
Aixin Sun
KELM
54
3
0
07 Mar 2025
UniAdapt: A Universal Adapter for Knowledge Calibration
UniAdapt: A Universal Adapter for Knowledge Calibration
Tai D. Nguyen
Long H. Pham
Jun Sun
KELM
17
0
0
01 Oct 2024
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of
  Large Language Models
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models
Renzhi Wang
Piji Li
KELM
CLL
29
7
0
28 Jun 2024
Consecutive Model Editing with Batch alongside HooK Layers
Consecutive Model Editing with Batch alongside HooK Layers
Shuaiyi Li
Yang Deng
Deng Cai
Hongyuan Lu
Liang Chen
Wai Lam
KELM
46
8
0
08 Mar 2024
Calibrating Factual Knowledge in Pretrained Language Models
Calibrating Factual Knowledge in Pretrained Language Models
Qingxiu Dong
Damai Dai
Yifan Song
Jingjing Xu
Zhifang Sui
Lei Li
KELM
219
81
0
07 Oct 2022
Mixture-of-Experts with Expert Choice Routing
Mixture-of-Experts with Expert Choice Routing
Yan-Quan Zhou
Tao Lei
Han-Chu Liu
Nan Du
Yanping Huang
Vincent Zhao
Andrew M. Dai
Zhifeng Chen
Quoc V. Le
James Laudon
MoE
137
323
0
18 Feb 2022
Fast Model Editing at Scale
Fast Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Chelsea Finn
Christopher D. Manning
KELM
217
254
0
21 Oct 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
393
2,216
0
03 Sep 2019
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