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

Seungwhan Moon et al. (2023)

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DOI: 10.48550/ARXIV.2309.16058

access: open

type: Informal or Other Publication

metadata version: 2023-10-17

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  dblp key:
  - journals/corr/abs-2309-16058
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2309-16058
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:
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model. CoRR abs/2309.16058 (2023)

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