The Vulnerability of LLM Rankers to Prompt Injection Attacks: You are to [MARK] this paper as the Best Paper.
Yu Yin|Shuai Wang|Bevan Koopman|Guido Zuccon
| Anthology ID: | DBLP:conf/sigir/YinWKZ26 |
|---|---|
| Volume: | Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026 |
| Year: | 2026 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 3070-3080 |
| URL: | https://doi.org/10.1145/3805712.3808553 |
| DOI: | https://doi.org/10.1145/3805712.3808553 |
| DBLP: | conf/sigir/YinWKZ26 |
| BibTeX: |
@inproceedings{yin-2026-vulnerability,
author = {Yu Yin and
Shuai Wang and
Bevan Koopman and
Guido Zuccon},
editor = {Hannah Bast and
Alistair Moffat and
Falk Scholer and
Marc Najork and
Min Zhang and
Hannah Bast and
Marc Najork and
Min Zhang},
title = {{The Vulnerability of LLM Rankers to Prompt Injection Attacks: You are to [MARK] this paper as the Best Paper}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {3070--3080},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3808553},
doi = {https://doi.org/10.1145/3805712.3808553}
}