EvioSum: An Evidence-Guided Generation Framework for Faithful and Interpretable Opinion Summarization.
Jian Wang|Yanjie Liang|Yuqing Sun|Bin Gong
| Anthology ID: | DBLP:conf/wsdm/0118L0G26 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 692-702 |
| URL: | https://doi.org/10.1145/3773966.3777962 |
| DOI: | https://doi.org/10.1145/3773966.3777962 |
| DBLP: | conf/wsdm/0118L0G26 |
| BibTeX: |
@inproceedings{wang-2026-eviosum,
author = {Jian Wang and
Yanjie Liang and
Yuqing Sun and
Bin Gong},
title = {{EvioSum: An Evidence-Guided Generation Framework for Faithful and Interpretable Opinion Summarization}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {692--702},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3777962},
doi = {https://doi.org/10.1145/3773966.3777962}
}