Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback

Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang. Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback. In Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz, editors, Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022. pages 339-352, Association for Computational Linguistics, 2022. [doi]

@inproceedings{TandonMCY22,
  title = {Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback},
  author = {Niket Tandon and Aman Madaan and Peter Clark and Yiming Yang},
  year = {2022},
  url = {https://aclanthology.org/2022.findings-naacl.26},
  researchr = {https://researchr.org/publication/TandonMCY22},
  cites = {0},
  citedby = {0},
  pages = {339-352},
  booktitle = {Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022},
  editor = {Marine Carpuat and Marie-Catherine de Marneffe and Iván Vladimir Meza Ruíz},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-955917-76-6},
}