ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain.
Sihao Hu|Tiansheng Huang|Ka-Ho Chow|Wenqi Wei|Yanzhao Wu|Ling Liu
| Anthology ID: | DBLP:conf/www/HuHCW0024 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2807-2816 |
| URL: | https://doi.org/10.1145/3589334.3645352 |
| DOI: | https://doi.org/10.1145/3589334.3645352 |
| DBLP: | conf/www/HuHCW0024 |
| BibTeX: |
@inproceedings{hu-2024-zipzap,
author = {Sihao Hu and
Tiansheng Huang and
Ka-Ho Chow and
Wenqi Wei and
Yanzhao Wu and
Ling Liu},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {2807--2816},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645352},
doi = {https://doi.org/10.1145/3589334.3645352}
}