Integrative grounding is a task requiring Large Language Models to retrieve and verify multiple interdependent pieces of evidence for complex queries, which often results in the model hallucinating rationalizations using internal knowledge when external information is incomplete.

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 (2)

• Large Language Models concept
• hallucination concept