LUQ: Long-text Uncertainty Quantification for LLMs

Caiqi Zhang, Fangyu Liu 0001, Marco Basaldella, Nigel Collier. LUQ: Long-text Uncertainty Quantification for LLMs. In Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen, editors, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024. pages 5244-5262, Association for Computational Linguistics, 2024. [doi]

@inproceedings{Zhang0BC24-0,
  title = {LUQ: Long-text Uncertainty Quantification for LLMs},
  author = {Caiqi Zhang and Fangyu Liu 0001 and Marco Basaldella and Nigel Collier},
  year = {2024},
  url = {https://aclanthology.org/2024.emnlp-main.299},
  researchr = {https://researchr.org/publication/Zhang0BC24-0},
  cites = {0},
  citedby = {0},
  pages = {5244-5262},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024},
  editor = {Yaser Al-Onaizan and Mohit Bansal and Yun-Nung Chen},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-164-3},
}