IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents.
Shrestha Mohanty|Negar Arabzadeh|Andrea Tupini|Yuxuan Sun|Alexey Skrynnik|Artem Zholus|Marc-Alexandre Côté|Julia Kiseleva
| Anthology ID: | DBLP:conf/sigir/MohantyAT0SZCK25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 3551-3562 |
| URL: | https://doi.org/10.1145/3726302.3730300 |
| DOI: | https://doi.org/10.1145/3726302.3730300 |
| DBLP: | conf/sigir/MohantyAT0SZCK25 |
| BibTeX: |
@inproceedings{mohanty-2025-idat,
author = {Shrestha Mohanty and
Negar Arabzadeh and
Andrea Tupini and
Yuxuan Sun and
Alexey Skrynnik and
Artem Zholus and
Marc-Alexandre C\^{o}t\'{e} and
Julia Kiseleva},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {3551--3562},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730300},
doi = {https://doi.org/10.1145/3726302.3730300}
}