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Found 3 papers, 3 papers with code
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims
Justification is an explanation that supports the veracity assigned to a claim in fact-checking.
Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset
Little attention has been paid on \underline{EA}rly \underline{R}umor \underline{D}etection (EARD), and EARD performance was evaluated inappropriately on a few datasets where the actual early-stage information is largely missing.
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models
Few-shot or zero-shot fact verification only relies on a few or no labeled training examples.
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