Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence

Hung-Ting Chen, Michael J. Q. Zhang, Eunsol Choi. Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11. pages 2292-2307, Association for Computational Linguistics, 2022. [doi]

@inproceedings{ChenZC22-8,
  title = {Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence},
  author = {Hung-Ting Chen and Michael J. Q. Zhang and Eunsol Choi},
  year = {2022},
  url = {https://aclanthology.org/2022.emnlp-main.146},
  researchr = {https://researchr.org/publication/ChenZC22-8},
  cites = {0},
  citedby = {0},
  pages = {2292-2307},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11},
  editor = {Yoav Goldberg and Zornitsa Kozareva and Yue Zhang},
  publisher = {Association for Computational Linguistics},
}