When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization

Faisal Ladhak, Esin Durmus, Mirac Suzgun, Tianyi Zhang, Dan Jurafsky, Kathleen R. McKeown, Tatsunori Hashimoto. When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization. In Andreas Vlachos 0001, Isabelle Augenstein, editors, Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023, Dubrovnik, Croatia, May 2-6, 2023. pages 3198-3211, Association for Computational Linguistics, 2023. [doi]

@inproceedings{LadhakDSZJMH23,
  title = {When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization},
  author = {Faisal Ladhak and Esin Durmus and Mirac Suzgun and Tianyi Zhang and Dan Jurafsky and Kathleen R. McKeown and Tatsunori Hashimoto},
  year = {2023},
  url = {https://aclanthology.org/2023.eacl-main.234},
  researchr = {https://researchr.org/publication/LadhakDSZJMH23},
  cites = {0},
  citedby = {0},
  pages = {3198-3211},
  booktitle = {Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023, Dubrovnik, Croatia, May 2-6, 2023},
  editor = {Andreas Vlachos 0001 and Isabelle Augenstein},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-44-9},
}