Data-augmented Phrase-level Alignment (DPA) and HALVA are methods that build hallucinated/correct response pairs via phrase-level augmentation and train with a phrase-level alignment loss to downweight hallucinated phrases, reducing object hallucinations while preserving general vision-language performance.

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 (1)

• hallucination concept