Review
Open access
2026
Hallucination Is Not One Thing: A Two-Axis Taxonomy for Structured Diagnosis in Generative AI
A concise two-axis framework that integrates an “intrinsic-extrinsic” distinction in source attribution introduced by Ji et al. with a “faithfulness-factuality” distinction in contextual grounding surveyed is presented, yielding four clearly defined hallucination types applicable across tasks, modalities and architectures.
Misbah Khan, Preston Billion-Polak, T. Khoshgoftaar
· IEEE Access · 0 citations