Detecting AI-Generated Text

Detecting AI-Generated Text

A novel contrastive learning approach for identifying LLM outputs

WhosAI is a triplet-network framework that effectively distinguishes between human and AI-authored content, addressing growing concerns about synthetic text detection.

Key Findings:

  • Uses contrastive learning to compare text samples and identify AI-generated content
  • Employs a triplet-network architecture that outperforms traditional classification methods
  • Capable of not only detecting AI text but also attributing which specific LLM generated it
  • Provides a security solution for identifying potential misinformation or fraudulent content

This research is critical for security professionals as AI-generated text becomes increasingly sophisticated and prevalent, creating new challenges for content verification and authentication.

Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text

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