VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models
Zejun Li, Ruipu Luo, Jiwen Zhang, Minghui Qiu, Xuanjing Huang, Zhongyu Wei
- Anthology ID:
- 2025.naacl-long.192
- Volume:
- Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Month:
- April
- Year:
- 2025
- Address:
- Albuquerque, New Mexico
- Editors:
- Luis Chiruzzo, Alan Ritter, Lu Wang
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 3769–3798
- Language:
- URL:
- https://preview.aclanthology.org/fix-sig-urls/2025.naacl-long.192/
- DOI:
- Cite (ACL):
- Zejun Li, Ruipu Luo, Jiwen Zhang, Minghui Qiu, Xuanjing Huang, and Zhongyu Wei. 2025. VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 3769–3798, Albuquerque, New Mexico. Association for Computational Linguistics.
- Cite (Informal):
- VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models (Li et al., NAACL 2025)
- PDF:
- https://preview.aclanthology.org/fix-sig-urls/2025.naacl-long.192.pdf