The paper 'Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models' explores methods for quantifying predictive uncertainty in large language models, published in the Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics in 2024.

Authors

• Person: Not available Organization: arXiv
  Re-evaluating Hallucination Detection in LLMs - arXiv

Sources

• Re-evaluating Hallucination Detection in LLMs - arXiv arxiv.org arXiv via serper

Referenced by nodes (2)

• Large Language Models concept
• Association for Computational Linguistics entity