Shrestha Mohanty, Negar Arabzadeh, Andrea Tupini, Yuxuan Sun, Alexey Skrynnik, Artem Zholus, Marc-Alexandre Côté and Julia Kiseleva
Paper (2025)
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| Department: | Department of Computer Engineering and Software Engineering |
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| ISBN: | 9798400715921 |
| PolyPublie URL: | https://publications.polymtl.ca/66565/ |
| Conference Title: | The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025) |
| Conference Location: | Padua, Italy |
| Conference Date(s): | 2025-07-13 - 2025-07-18 |
| Publisher: | ACM |
| DOI: | 10.1145/3726302.3730300 |
| Official URL: | https://doi.org/10.1145/3726302.3730300 |
| Date Deposited: | 21 Jul 2025 11:11 |
| Last Modified: | 21 Jul 2025 11:11 |
| Cite in APA 7: | Mohanty, S., Arabzadeh, N., Tupini, A., Sun, Y., Skrynnik, A., Zholus, A., Côté, M.-A., & Kiseleva, J. (2025, July). IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents [Paper]. The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025), Padua, Italy. https://doi.org/10.1145/3726302.3730300 |
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