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Found 6 papers, 0 papers with code
Streamlining Systematic Reviews: A Novel Application of Large Language Models
For comparison, Rayyan, a commercial tool for title/abstract screening, achieved an AER of 72. 1% and FNR of 5% when including articles Rayyan considered as undecided or likely to include.
Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction
With the rise of sophisticated phishing attacks, there is a growing need for effective and economical detection solutions.
To Ensemble or Not: Assessing Majority Voting Strategies for Phishing Detection with Large Language Models
However, when there is a significant discrepancy in individual performance, the effectiveness of the ensemble method may not exceed that of the highest-performing single LLM or prompt.
Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications
In the visually evident task, some LMMs, such as Gemini-pro-vision and GPT-4o, have demonstrated the potential to achieve good performance with careful prompt engineering, with GPT-4o achieving the highest accuracy and F1-score of 91. 9\% and 91\%, respectively.
Automatic Target Detection for Sparse Hyperspectral Images
The sparse component is directly used for the detection, that is, the targets are simply detected at the non-zero entries of the sparse target HSI.
Efficient Implementation of a Recognition System Using the Cortex Ventral Stream Model
Various optimizations targeted to increase accuracy at the so-called layers S1, C1, and S2 of the HMAX model are proposed.
