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Every Part Matters: Integrity Verification of Scientific Figures Based
  on Multimodal Large Language Models

Every Part Matters: Integrity Verification of Scientific Figures Based on Multimodal Large Language Models

26 July 2024
Xiang Shi
Jiawei Liu
Yinpeng Liu
Qikai Cheng
Wei Lu
ArXivPDFHTML

Papers citing "Every Part Matters: Integrity Verification of Scientific Figures Based on Multimodal Large Language Models"

4 / 4 papers shown
Title
Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models
Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models
Haoran Wei
Lingyu Kong
Jinyue Chen
Liang Zhao
Zheng Ge
Jinrong Yang
Jian‐Yuan Sun
Chunrui Han
Xiangyu Zhang
MLLM
VLM
61
39
0
11 Dec 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
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
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
161
401
0
10 Sep 2021
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