The iTaD decoding strategy is a plug-and-play method for multi-modal large language models that uses attention to image tokens to select layers and apply inter-layer contrastive decoding.

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)

• Multimodal Large Language Models concept