LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking.
Amy Xin|Yunjia Qi|Zijun Yao|Fangwei Zhu|Kaisheng Zeng|Bin Xu|Lei Hou|Juanzi Li
| Anthology ID: | DBLP:conf/cikm/XinQ0ZZ00L25 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3550-3559 |
| URL: | https://doi.org/10.1145/3746252.3761156 |
| DOI: | https://doi.org/10.1145/3746252.3761156 |
| DBLP: | conf/cikm/XinQ0ZZ00L25 |
| BibTeX: |
@inproceedings{xin-2025-llmael,
author = {Amy Xin and
Yunjia Qi and
Zijun Yao and
Fangwei Zhu and
Kaisheng Zeng and
Bin Xu and
Lei Hou and
Juanzi Li},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {3550--3559},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761156},
doi = {https://doi.org/10.1145/3746252.3761156}
}