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} }