Total Recall QA: A Verifiable Evaluation Suite for Deep Research Agents.
Mahta Rafiee|Heydar Soudani|Zahra Abbasiantaeb|Mohammad Aliannejadi|Faegheh Hasibi|Hamed Zamani
| Anthology ID: | DBLP:conf/sigir/RafieeSAAHZ26 |
|---|---|
| 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: | 3365-3373 |
| URL: | https://doi.org/10.1145/3805712.3808629 |
| DOI: | https://doi.org/10.1145/3805712.3808629 |
| DBLP: | conf/sigir/RafieeSAAHZ26 |
| BibTeX: |
@inproceedings{rafiee-2026-total,
author = {Mahta Rafiee and
Heydar Soudani and
Zahra Abbasiantaeb and
Mohammad Aliannejadi and
Faegheh Hasibi and
Hamed Zamani},
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 = {{Total Recall QA: A Verifiable Evaluation Suite for Deep Research Agents}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {3365--3373},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3808629},
doi = {https://doi.org/10.1145/3805712.3808629}
}