Papers by Faisal Shohan
XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags (2024.findings-acl)
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| Challenge: | XL-HeadTags is a dataset that includes 20 languages across 6 diverse language families. |
| Approach: | They propose to leverage auxiliary information such as images and captions embedded in news articles to retrieve relevant sentences and utilize instruction tuning with variations to generate both headlines and tags for news articles in a multilingual context. |
| Outcome: | The proposed approach generates headlines and tags in a multilingual context using images and captions embedded in the articles and instruction tuning with variations. |