Papers by Seong-Heum Park

1 papers
A Framework for Vision-Language Warm-up Tasks in Multimodal Dialogue Models (2023.emnlp-main)

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Challenge: Existing methods for building multimodal open-domain dialogue agents based on large datasets are limited in real-world settings .
Approach: They propose a new learning strategy called vision-language warm-up tasks for multimodal dialogue models that relies solely on learning from target data.
Outcome: The proposed learning strategy achieves comparable and in some cases superior performance compared to existing state-of-the-art models on various evaluation metrics.

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