Deletion Isn't Enough: Auditing RAG for Selective Forgetting
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Cites
Huang, L., Yu, W., Ma, W., Zhong, W., Feng, Z., Wang, H., Chen, Q., Peng, W., Feng, X., Qin, B., et al. (2025) · ACM Transactions on Information Systems · doi:10.1145/3703155 · Cited by 2,142 · see citing works
Bourtoule, L., Chandrasekaran, V., Choquette-Choo, C. A., Jia, H., Travers, A., Zhang, B., Lie, D., & Papernot, N. (2021) · 2021 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp40001.2021.00019 · Cited by 810 · see citing works
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks
Golatkar, A., Achille, A., & Soatto, S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.00932 · Cited by 394 · see citing works
Enabling Large Language Models to Generate Text with Citations
Gao, T., Yen, H., Yu, J., & Chen, D. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/2023.emnlp-main.398 · Cited by 216 · see citing works
Xu, H., & Shuttleworth, K. M. J. (2024) · Intelligent Medicine · doi:10.1016/j.imed.2023.08.001 · Cited by 196 · see citing works
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-Tuning
Luo, Y., Yang, Z., Meng, F., Li, Y., Zhou, J., & Zhang, Y. (2025) · IEEE Transactions on Audio, Speech and Language Processing · doi:10.1109/taslpro.2025.3606231 · Cited by 136 · see citing works
Measuring Attribution in Natural Language Generation Models
Rashkin, H., Nikolaev, V., Lamm, M., Aroyo, L., Collins, M., Das, D., Petrov, S., Tomar, G. S., Turc, I., & Reitter, D. (2023) · Computational Linguistics · doi:10.1162/coli_a_00486 · Cited by 71 · see citing works
Measuring Attribution in Natural Language Generation Models
Rashkin, H., Nikolaev, V., Lamm, M., Aroyo, L., Collins, M., Das, D., Petrov, S., Tomar, G. S., Turc, I., & Reitter, D. (2021) · arXiv · doi:10.48550/arxiv.2112.12870 · Cited by 34 · see citing works
Digital forgetting in large language models: a survey of unlearning methods
Blanco-Justicia, A., Jebreel, N., Manzanares-Salor, B., Sánchez, D., Domingo-Ferrer, J., Collell, G., & Eeik Tan, K. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-024-11078-6 · Cited by 31 · see citing works
Correctness is not Faithfulness in Retrieval Augmented Generation Attributions
Wallat, J., Heuss, M., Rijke, M. D., & Anand, A. (2025) · Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR) · doi:10.1145/3731120.3744592 · Cited by 21 · see citing works
Human-Centered Evaluation and Auditing of Language Models
Liu, Y. L., Deng, W. H., Lam, M. S., Eslami, M., Kim, J., Liao, Q. V., Xu, W., Novikova, J., & Xiao, Z. (2025) · Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706599.3706729 · Cited by 7 · see citing works
Flagged first, then by citations
- Authors
- Tavakoli, L., & Sanderson, M.
- Affiliations
- Independent Researcher, Melbourne, Australia
- RMIT University (AU)
- Venue
- Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval
- Publisher
- ACM
- Published
- 2026-07-19
- Pages
- 2721-2733
- OpenAlex
- W7168393304
- Cited by
- 0
- References
- 11
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (publishedVersion, cc-by)
- Funders
- Australian Research Council (CE200100005)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Keywords
- retrieval-augmented generation, selective forgetting, auditing, data deletion, large language models, data privacy
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