Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements (2020.emnlp-main)
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| Challenge: | Existing tools for examining and fixing missing captions are lacking in mobile UIs. |
| Approach: | They propose a task for automatically generating language descriptions for UI elements from multimodal input including both the image and structural representations of user interfaces. |
| Outcome: | The proposed task can generate captions from image and structural representations of UI elements. |
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Concadia: Towards Image-Based Text Generation with a Purpose (2022.emnlp-main)
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| Challenge: | Existing models fail to generate fluent, truthful text, despite excellent results on benchmark datasets . current systems fail to produce texts that are useful in practice, authors argue . |
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| Challenge: | Recent studies have focused on using LLMs to classify text as either human-written or machine-generated . |
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| Challenge: | Combining visual modality with pretrained language models has been effective for descriptive tasks such as image captioning. |
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Towards Better Semantic Understanding of Mobile Interfaces (2022.coling-1)
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Srinivas Sunkara, Maria Wang, Lijuan Liu, Gilles Baechler, Yu-Chung Hsiao, Jindong Chen, Abhanshu Sharma, James W. W. Stout
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