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GME: Improving Universal Multimodal Retrieval by Multimodal LLMs

GME: Improving Universal Multimodal Retrieval by Multimodal LLMs

22 December 2024
Xin Zhang
Yanzhao Zhang
Wen Xie
Mingxin Li
Ziqi Dai
Dingkun Long
Pengjun Xie
Meishan Zhang
Wenjie Li
M. Zhang
ArXivPDFHTML

Papers citing "GME: Improving Universal Multimodal Retrieval by Multimodal LLMs"

7 / 7 papers shown
Title
Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality
Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality
Xueguang Ma
Luyu Gao
Shengyao Zhuang
Jiaqi Samantha Zhan
Jamie Callan
Jimmy Lin
31
0
0
05 May 2025
A Multi-Granularity Retrieval Framework for Visually-Rich Documents
A Multi-Granularity Retrieval Framework for Visually-Rich Documents
Mingjun Xu
Zehui Wang
Hengxing Cai
Renxin Zhong
3DV
25
0
0
01 May 2025
UniversalRAG: Retrieval-Augmented Generation over Multiple Corpora with Diverse Modalities and Granularities
UniversalRAG: Retrieval-Augmented Generation over Multiple Corpora with Diverse Modalities and Granularities
Woongyeong Yeo
Kangsan Kim
Soyeong Jeong
Jinheon Baek
S. Hwang
44
0
0
29 Apr 2025
The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning
The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning
Mingkai Tian
Guorong Li
Yuankai Qi
Amin Beheshti
J. Shi
Anton van den Hengel
Qingming Huang
VGen
27
0
0
31 Mar 2025
Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up
Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up
Lang Huang
Qiyu Wu
Zhongtao Miao
T. Yamasaki
40
0
0
27 Feb 2025
Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval
Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval
Ze Liu
Zhengyang Liang
Junjie Zhou
Zheng Liu
Defu Lian
OffRL
41
0
0
17 Feb 2025
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
Mohammad Mahdi Abootorabi
Amirhosein Zobeiri
Mahdi Dehghani
Mohammadali Mohammadkhani
Bardia Mohammadi
Omid Ghahroodi
M. Baghshah
Ehsaneddin Asgari
RALM
82
3
0
12 Feb 2025
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