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This project addresses the challenge by fine-tuning a transformer-based classification model (RoBERTa) on the LIAR dataset to automatically determine whether a news statement is real or fake. Additionally, it employs a generative LLM (FLAN-T5) to produce natural language explanations for its predictions, increasing user trust and transparency in the system.
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