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
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