JARVIS: An Evidence-Grounded Retrieval System for Interpretable Deceptive Reviews Adjudication.
Nan Lu|Leyang Li|Xiaolu Zhang|Yurong Hu|Rui Lin|Shaoyi Xu|Xiaolu Zhang|Yurong Hu
| Anthology ID: | DBLP:conf/sigir/LuLHLX26 |
|---|---|
| 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: | 4780-4784 |
| URL: | https://doi.org/10.1145/3805712.3808429 |
| DOI: | https://doi.org/10.1145/3805712.3808429 |
| DBLP: | conf/sigir/LuLHLX26 |
| BibTeX: |
@inproceedings{lu-2026-jarvis,
author = {Nan Lu and
Leyang Li and
Xiaolu Zhang and
Yurong Hu and
Rui Lin and
Shaoyi Xu and
Xiaolu Zhang and
Yurong Hu},
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 = {{JARVIS: An Evidence-Grounded Retrieval System for Interpretable Deceptive Reviews Adjudication}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {4780--4784},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3808429},
doi = {https://doi.org/10.1145/3805712.3808429}
}