Retriever-generator-verification: A novel approach to enhancing factual coherence in open-domain question answering.
Shiqi Sun|Kun Zhang|Jingyuan Li|Min Yu|Kun Hou|Yuanzhuo Wang|Xueqi Cheng
| Anthology ID: | DBLP:journals/ipm/SunZLYHWC25 |
|---|---|
| Year: | 2025 |
| Venue: | Information Processing and Management |
| Pages: | 104147 |
| URL: | https://doi.org/10.1016/J.IPM.2025.104147 |
| DOI: | https://doi.org/10.1016/J.IPM.2025.104147 |
| DBLP: | journals/ipm/SunZLYHWC25 |
| BibTeX: |
@article{sun-2025-retrievergeneratorverification,
author = {Shiqi Sun and
Kun Zhang and
Jingyuan Li and
Min Yu and
Kun Hou and
Yuanzhuo Wang and
Xueqi Cheng},
title = {{Retriever-generator-verification: A novel approach to enhancing factual coherence in open-domain question answering}},
journal = {Information Processing and Management},
volume = {62},
number = {5},
pages = {104147},
year = {2025},
url = {https://doi.org/10.1016/J.IPM.2025.104147},
doi = {https://doi.org/10.1016/J.IPM.2025.104147}
}