@article{zhu2025revisitinginfluence,
  title = {Revisiting Data Attribution for Influence Functions},
  author = {Hongbo Zhu and Angelo Cangelosi},
  year = {2025},
  journal = {arXiv preprint},
  url = {https://arxiv.org/abs/2508.07297},
  abstract = {Comprehensive review of influence functions for data attribution, examining how individual training examples influence model predictions. Covers techniques for model debugging, data curation, bias detection, and identification of mislabeled or adversarial data points.}
}