A GAIL Fine-Tuned LLM Enhanced Framework for Low-Resource Knowledge Graph Question Answering.
Zhiqiang Zhang|Liqiang Wen|Wen Zhao
| Anthology ID: | DBLP:conf/cikm/ZhangWZ24 |
|---|---|
| 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: | 3300-3309 |
| URL: | https://doi.org/10.1145/3627673.3679753 |
| DOI: | https://doi.org/10.1145/3627673.3679753 |
| DBLP: | conf/cikm/ZhangWZ24 |
| BibTeX: |
@inproceedings{zhang-2024-gail,
author = {Zhiqiang Zhang and
Liqiang Wen and
Wen Zhao},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{A GAIL Fine-Tuned LLM Enhanced Framework for Low-Resource Knowledge Graph Question Answering}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3300--3309},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679753},
doi = {https://doi.org/10.1145/3627673.3679753}
}