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Multimodal Learning

Chen Liu (Ph.D. Student)

The human learning experience is multimodal. We utilize information from both language and vision, along with other contextual clues, to understand, reason, and communicate in social settings. In this project, we aim to utilize textual and visual information to solve different NLP tasks, such as classification, generation, as well as cross-modality tasks such as understanding of memes, multimodal and multilingual question answering. We hope to create systems that are easily transferable to many different applications and gain a better understanding of human communication.

Primary Host: Iryna Gurevych (Technical University of Darmstadt)
Exchange Host: Anna Korhonen (University of Cambridge)
PhD Duration: 01 October 2021 - 30 September 2024
Exchange Duration: 01 January 2024 - 30 June 2024 - Ongoing