Evaluation benchmarks for vision-language hallucination detection and mitigation include MHaluBench, MFHaluBench, Object HalBench, AMBER, MMHal-Bench, and POPE, which utilize metrics such as accuracy, precision, recall, F1-score, CHAIR, Cover, Hal, and Cog.

Authors

• Person: Not available Organization: GitHub
  EdinburghNLP/awesome-hallucination-detection - GitHub

Sources

• EdinburghNLP/awesome-hallucination-detection - GitHub github.com GitHub via serper

Referenced by nodes (4)

• accuracy concept
• Precision concept
• recall concept
• F1 score concept