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IEEE/ICACT20250220 Slide.18
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1) How can transformer-based types (like BERT and GPT) be improved to handle the complexities of recognizing obfuscated or disguised spam contents? 2) What responsibility does appropriate understanding in NLP perform in identifying spam emails that may bypass traditional keyword-based practices? 3) Can fine-tuning pre-trained NLP demonstrates advance spam detection precision in diverse languages and societies with different styles of spam? | |
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