In the probabilistic generative framework for Large Language Models, an LLM is modeled as a probabilistic generator Pθ(y|x) parameterized by θ, where x is the input prompt and y is the generated output; hallucinations emerge when the model assigns a higher probability to an incorrect or ungrounded generation sequence than to a factually grounded alternative.

Authors

• Person: Not available Organization: Frontiers
  Survey and analysis of hallucinations in large language models

Sources

• Survey and analysis of hallucinations in large language models www.frontiersin.org Frontiers via serper

Referenced by nodes (1)

• Large Language Models concept