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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

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Abstract

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. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track. 2024.

Topics & Concepts

Modality (human–computer interaction)Computer scienceScalabilityProgramming languageNatural language processingArtificial intelligenceDatabaseTopic ModelingNatural Language Processing TechniquesSpeech Recognition and Synthesis
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