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Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models
  Versus Fine-Tuned Vision Transformers in Image-Based Security Applications

Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications

26 March 2024
Fouad Trad
Ali Chehab
    MLLM
ArXivPDFHTML

Papers citing "Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications"

1 / 1 papers shown
Title
MathBench: Evaluating the Theory and Application Proficiency of LLMs
  with a Hierarchical Mathematics Benchmark
MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark
Hongwei Liu
Zilong Zheng
Yuxuan Qiao
Haodong Duan
Zhiwei Fei
Fengzhe Zhou
Wenwei Zhang
Songyang Zhang
Dahua Lin
Kai-xiang Chen
46
6
0
20 May 2024
1