FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization

Nan Zhang, Yusen Zhang, Wu Guo, Prasenjit Mitra, Rui Zhang. FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization. In Houda Bouamor, Juan Pino 0001, Kalika Bali, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023. pages 10915-10931, Association for Computational Linguistics, 2023. [doi]

@inproceedings{ZhangZGMZ23,
  title = {FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization},
  author = {Nan Zhang and Yusen Zhang and Wu Guo and Prasenjit Mitra and Rui Zhang},
  year = {2023},
  url = {https://aclanthology.org/2023.emnlp-main.673},
  researchr = {https://researchr.org/publication/ZhangZGMZ23},
  cites = {0},
  citedby = {0},
  pages = {10915-10931},
  booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023},
  editor = {Houda Bouamor and Juan Pino 0001 and Kalika Bali},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-060-8},
}