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Advancing Grounded Multimodal Named Entity Recognition via LLM-Based
  Reformulation and Box-Based Segmentation

Advancing Grounded Multimodal Named Entity Recognition via LLM-Based Reformulation and Box-Based Segmentation

11 June 2024
Jinyuan Li
Ziyan Li
Han Li
Jianfei Yu
Rui Xia
Di Sun
Gang Pan
ArXivPDFHTML

Papers citing "Advancing Grounded Multimodal Named Entity Recognition via LLM-Based Reformulation and Box-Based Segmentation"

4 / 4 papers shown
Title
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
203
883
0
27 Apr 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
Zhengyuan Yang
Zhe Gan
Jianfeng Wang
Xiaowei Hu
Yumao Lu
Zicheng Liu
Lijuan Wang
169
401
0
10 Sep 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize
  Long-Tail Visual Concepts
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
Soravit Changpinyo
P. Sharma
Nan Ding
Radu Soricut
VLM
273
1,077
0
17 Feb 2021
1