Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples.
Qingkai Zeng|Yuyang Bai|Zhaoxuan Tan|Shangbin Feng|Zhenwen Liang|Zhihan Zhang|Meng Jiang
| Anthology ID: | DBLP:conf/cikm/0001BTFLZ024 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3093-3102 |
| URL: | https://doi.org/10.1145/3627673.3679608 |
| DOI: | https://doi.org/10.1145/3627673.3679608 |
| DBLP: | conf/cikm/0001BTFLZ024 |
| BibTeX: |
@inproceedings{zeng-2024-chainoflayer,
author = {Qingkai Zeng and
Yuyang Bai and
Zhaoxuan Tan and
Shangbin Feng and
Zhenwen Liang and
Zhihan Zhang and
Meng Jiang},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3093--3102},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679608},
doi = {https://doi.org/10.1145/3627673.3679608}
}