ReProF: Residual Prototype Fusion for Continual LLM Attribution

@article{yujie2026,
  title = {ReProF: Residual Prototype Fusion for Continual LLM Attribution},
  author = {Wang, Yujie and Mao, Zhendong and Wang, Quan},
  journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
  year = {2026},
  month = {Jan},
  doi = {10.18653/2026.emnlp-main.2051},
  url = {https://doi.org/10.18653/2026.emnlp-main.2051},
}

Wang, Yujie et al. (2026). ReProF: Residual Prototype Fusion for Continual LLM Attribution. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/2026.emnlp-main.2051

Wang, Yujie, et al.. "ReProF: Residual Prototype Fusion for Continual LLM Attribution." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, 2026, https://doi.org/10.18653/2026.emnlp-main.2051.

Wang, Yujie, et al.. "ReProF: Residual Prototype Fusion for Continual LLM Attribution." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (2026). https://doi.org/10.18653/2026.emnlp-main.2051

Wang, Yujie et al., 2026. ReProF: Residual Prototype Fusion for Continual LLM Attribution. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing. Available at: <https://doi.org/10.18653/2026.emnlp-main.2051>.

TY  - JOUR
TI  - ReProF: Residual Prototype Fusion for Continual LLM Attribution
AU  - Wang, Yujie
AU  - Mao, Zhendong
AU  - Wang, Quan
PY  - 2026
JO  - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
DO  - 10.18653/2026.emnlp-main.2051
UR  - https://doi.org/10.18653/2026.emnlp-main.2051
ER  -