Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models.
Jia-Hong Huang|Chao-Chun Yang|Yixian Shen|Alessio M. Pacces|Evangelos Kanoulas
| Anthology ID: | DBLP:conf/cikm/HuangYSPK24 |
|---|---|
| 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: | 4554-4562 |
| URL: | https://doi.org/10.1145/3627673.3680025 |
| DOI: | https://doi.org/10.1145/3627673.3680025 |
| DBLP: | conf/cikm/HuangYSPK24 |
| BibTeX: |
@inproceedings{huang-2024-optimizing,
author = {Jia-Hong Huang and
Chao-Chun Yang and
Yixian Shen and
Alessio M. Pacces and
Evangelos Kanoulas},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {4554--4562},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3680025},
doi = {https://doi.org/10.1145/3627673.3680025}
}