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MisSynth: Improving MISSCI Logical Fallacies Classification with Synthetic Data

arXiv — cs.CL•Friday, October 31, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
The recent development of MisSynth aims to tackle the growing issue of health-related misinformation by enhancing the classification of logical fallacies. By utilizing synthetic data and fine-tuning large language models, this innovative approach promises to improve the detection of misleading claims that can distort scientific findings. This is crucial as it not only helps in identifying false information but also contributes to public health by ensuring that accurate information prevails in discussions surrounding health topics.
— Curated by the World Pulse Now AI Editorial System
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