AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model

Seungwhan Moon | Andrea Madotto | Zhaojiang Lin | Tushar Nagarajan | Matt Smith | Shashank Jain | Chun-Fu Yeh | Prakash Murugesan | Peyman Heidari | Yue Liu | Kavya Srinet | Babak Damavandi | Anuj Kumar |

Paper Details:

Month: November
Year: 2024
Location: Miami, Florida, US
Venue: EMNLP |