Fine-tuned Mixtral outperforms zero-shot and few-shot LLM prompting for SMS spam detection, reaching 98.6% accuracy on a balanced test set, though the evaluation protocol has methodological weaknesses.
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SpaLLM-Guard: Pairing SMS Spam Detection Using Open-source and Commercial LLMs
Fine-tuned Mixtral outperforms zero-shot and few-shot LLM prompting for SMS spam detection, reaching 98.6% accuracy on a balanced test set, though the evaluation protocol has methodological weaknesses.