joaoaleite/PASTEL
PASTEL (Prompted weAk Supervision wiTh crEdibility signaLs) is a weakly supervised approach that leverages large language models to extract credibility signals from web content, then further combines them to predict content veracity without using any ground truth labels.
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GPL-3.0
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Mar 16, 2025
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