AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach.
Maryam Amirizaniani|Elias Martin|Tanya G. Roosta|Aman Chadha|Chirag Shah
| Anthology ID: | DBLP:conf/cikm/AmirizanianiMRC24 |
|---|---|
| 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: | 5174-5179 |
| URL: | https://doi.org/10.1145/3627673.3679222 |
| DOI: | https://doi.org/10.1145/3627673.3679222 |
| DBLP: | conf/cikm/AmirizanianiMRC24 |
| BibTeX: |
@inproceedings{amirizaniani-2024-auditllm,
author = {Maryam Amirizaniani and
Elias Martin and
Tanya G. Roosta and
Aman Chadha and
Chirag Shah},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {5174--5179},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679222},
doi = {https://doi.org/10.1145/3627673.3679222}
}