Zero-Shot Spam Email Classification Using Pre-trained Large Language Models

Sergio Rojas–Galeano

doi:10.1007/978-3-031-74595-9_1

ScienceGate Book Chapters

BOOK-CHAPTER

Zero-Shot Spam Email Classification Using Pre-trained Large Language Models

Sergio Rojas–Galeano

Year: 2024 Communications in computer and information science Pages: 3-18 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-74595-9_1

Get Full-Text PDF Get Analytical Report

Keywords:

Zero (linguistics) Computer science Shot (pellet) Natural language processing Artificial intelligence Information retrieval Pattern recognition (psychology) Linguistics Chemistry

Metrics

Cited By

13.28

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Spam and Phishing Detection

Physical Sciences → Computer Science → Information Systems

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Zero-Shot Spam Email Classification Using Pre-trained Large Language Models

Metrics

Citation History

Topics

Related Documents

Methodologies for Email Spam Classification Using Large Language Models

Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal Nudging

Zero-Shot Audio Classification Using Synthesised Classifiers and Pre-Trained Models

What Makes Pre-trained Language Models Better Zero-shot Learners?

Zero-shot domain paraphrase with unaligned pre-trained language models