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EFUF: Efficient Fine-grained Unlearning Framework for Mitigating
  Hallucinations in Multimodal Large Language Models

EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models

15 February 2024
Shangyu Xing
Fei Zhao
Zhen Wu
Tuo An
Weihao Chen
Chunhui Li
Jianbing Zhang
Xinyu Dai
    MLLM
    MU
ArXivPDFHTML

Papers citing "EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models"

5 / 5 papers shown
Title
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification
Laura Fieback
Jakob Spiegelberg
Hanno Gottschalk
MLLM
41
5
0
29 May 2024
Hallucination of Multimodal Large Language Models: A Survey
Hallucination of Multimodal Large Language Models: A Survey
Zechen Bai
Pichao Wang
Tianjun Xiao
Tong He
Zongbo Han
Zheng Zhang
Mike Zheng Shou
VLM
LRM
68
136
0
29 Apr 2024
Who's Harry Potter? Approximate Unlearning in LLMs
Who's Harry Potter? Approximate Unlearning in LLMs
Ronen Eldan
M. Russinovich
MU
MoMe
98
171
0
03 Oct 2023
mPLUG-Owl: Modularization Empowers Large Language Models with
  Multimodality
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Qinghao Ye
Haiyang Xu
Guohai Xu
Jiabo Ye
Ming Yan
...
Junfeng Tian
Qiang Qi
Ji Zhang
Feiyan Huang
Jingren Zhou
VLM
MLLM
198
883
0
27 Apr 2023
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Joel Jang
Dongkeun Yoon
Sohee Yang
Sungmin Cha
Moontae Lee
Lajanugen Logeswaran
Minjoon Seo
KELM
PILM
MU
142
110
0
04 Oct 2022
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