measurement
The Pelican framework reduces hallucination rates by approximately 8–32% across various Large Vision-Language Models (LVLMs) and performs 27% better than prior mitigation methods while maintaining or improving factual accuracy in following visual instructions.
Authors
Sources
- EdinburghNLP/awesome-hallucination-detection - GitHub github.com via serper
Referenced by nodes (1)
- Large Vision-Language Models concept