Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study.
Shuo Yu|Mingyue Cheng|Qi Liu|Daoyu Wang|Jiqian Yang|Jie Ouyang|Yucong Luo|Chenyi Lei|Enhong Chen
| Anthology ID: | DBLP:conf/cikm/0007C0WYOLLC25 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3931-3941 |
| URL: | https://doi.org/10.1145/3746252.3761340 |
| DOI: | https://doi.org/10.1145/3746252.3761340 |
| DBLP: | conf/cikm/0007C0WYOLLC25 |
| BibTeX: |
@inproceedings{yu-2025-multisource,
author = {Shuo Yu and
Mingyue Cheng and
Qi Liu and
Daoyu Wang and
Jiqian Yang and
Jie Ouyang and
Yucong Luo and
Chenyi Lei and
Enhong Chen},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {3931--3941},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761340},
doi = {https://doi.org/10.1145/3746252.3761340}
}