Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification.
Huajie Zhang|Yuxin Ying|Fuzhen Zhuang|Haiqin Weng|Ying Sun|Zhao Zhang|Yiqi Tong|Yan Liu
| Anthology ID: | DBLP:conf/www/ZhangYZWY0TL24 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 774-777 |
| URL: | https://doi.org/10.1145/3589335.3651537 |
| DOI: | https://doi.org/10.1145/3589335.3651537 |
| DBLP: | conf/www/ZhangYZWY0TL24 |
| BibTeX: |
@inproceedings{zhang-2024-multiround,
author = {Huajie Zhang and
Yuxin Ying and
Fuzhen Zhuang and
Haiqin Weng and
Ying Sun and
Zhao Zhang and
Yiqi Tong and
Yan Liu},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {774--777},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3651537},
doi = {https://doi.org/10.1145/3589335.3651537}
}