Chinese Spam Detection Based on Prompt Tuning Methodology

Chinese spam detection is crucial in minimizing the impact of spam emails on individuals. This research focuses on utilizing prompt tuning techniques to improve the efficiency of pre-trained language models in classifying spam emails. By designing suitable prompt templates and enhancing the utilization of knowledge within the models, the aim is to enhance the accuracy of spam detection methods in the Chinese language. The approach involves fine-tuning PLMs to make them better suited for downstream tasks, addressing challenges posed by spam emails that attempt to evade detection through various disguises.

• Chinese
• Spam Detection
• Prompt Tuning
• Pre-trained Language Models
• NLP Tasks

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Uploaded on Feb 28, 2025 | 0 Views

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Presentation Transcript

1. WELCOME EMAIL SYSTEM

2. Before You Start Please complete: Coordinator Introduction to eRecruiter and eCoordinator Opportunity Data Entry Volunteer Data Entry Grids and Searches

3. Todays Learning Objectives 1. How to send emails to volunteers 2. Selecting records and launching an email 3. Inserting mail merge fields 4. Creating attachments 5. Using templates 6. Sending emails and receiving confirmations

4. Enable Text Formatting

5. Introduction to eCoordinator Email

6. Email Grid Selections

7. Email Search Results

8. Email Screen

9. Email Signature John Doe Volunteer Coordinator 888-555-1212 johndoe@email.com

10. Mail Merge Fields

11. Email Templates

12. Email Attachments

13. Send

14. Conclusion Some tips and reminders: Email system helps automate your communications Include yourself in the Cc field Emails are sent individually so that the recipients see only their own information; volunteers will never see the email addresses of other volunteers You may need to Reset the field before entering a new message Your email signature can be saved so that you only need to enter it once Save messages as templates

15. Thank You CONGRATULATIONS! THE END Start this module again