Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
Mohammad Mahdi Abootorabi, Amirhosein Zobeiri, Mahdi Dehghani, Mohammadali Mohammadkhani, Bardia Mohammadi, Omid Ghahroodi, Mahdieh Soleymani Baghshah, Ehsaneddin Asgari. Findings of the Association for Computational Linguistics: ACL 2025. 2025.
Authors
- Ehsaneddin Asgari (ORCID: https://orcid.org/0000-0002-6518-7238)
- Omid Ghahroodi (ORCID: https://orcid.org/0000-0001-5577-882X)
- Mahdi Dehghani
- Mohammad Mahdi Abootorabi (ORCID: https://orcid.org/0000-0002-8555-1973)
- Mahdieh Soleymani Baghshah (ORCID: https://orcid.org/0000-0002-1971-6231)
- Bardia Mohammadi
- Amirhosein Zobeiri
- Mohammadali Mohammadkhani
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.findings-acl.861
- Citations
- 16
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 39.70
Funders
- Deutscher Akademischer Austauschdienst
- Bundesministerium für Bildung und Forschung