AI4citations

Combating inaccurate citations with AI

The challenge: Researchers spend countless hours manually verifying citations, while misinformation spreads through unchecked claims.

The solution: Shuffled training across multiple datasets lays the groundwork for breakthrough improvements in citation verification.

Impact & innovation:

• pyvers package (based on PyTorch Lightning) automates preprocessing and training on claim verification datasets
• 7% improvement in F1 score over state-of-the-art models through shuffled training methodology
• Real-time web app with feedback collection for model improvement
• Production-ready deployment with CI/CD pipeline ensuring reliability with every update