← Back to Research
Academic Research

FEVER: Fact Verification Dataset

The foundation for ReasonKit's ProofGuard verification system

Authors
Thorne et al. (2018)
Venue
NAACL 2018
ReasonKit Tool
ProofGuard

Paper Title

"FEVER: a Large-scale Dataset for Fact Extraction and VERification"

Key Findings

  • Created 185,445 claims with evidence from Wikipedia
  • Established methodology for fact verification requiring multiple sources
  • Demonstrated that single-source verification fails 40%+ of the time

Why This Matters

Most AI systems trust claims from a single source. FEVER research demonstrates that fact verification requires multiple independent sources to be reliable.

ReasonKit's ProofGuard tool implements this exact methodology, requiring 3 independent sources minimum before trusting any claim—exactly what FEVER research proves is necessary.

Access the Research

View on arXiv (PDF) FEVER Dataset Website
← View All Research Sources