Papers by Haruki Nagasawa
Can LMs Store and Retrieve 1-to-N Relational Knowledge? (2023.acl-srw)
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| Challenge: | Pretraining language models on large amounts of text has made it difficult to store and retrieve world knowledge. |
| Approach: | They propose to view pretrained language models as knowledge bases by examining their ability to store and retrieve world knowledge. |
| Outcome: | The proposed model can store and retrieve world knowledge with high accuracy, but it is not clear how accurately it can handle 1-to-N relational knowledge. |
A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video (2023.emnlp-main)
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| Challenge: | Existing methods to summarize video content have only considered video and image data, and the trend towards multimodal video summarization is changing. |
| Approach: | They propose a multimodal video summarization task setting and a dataset to train and evaluate the task. |
| Outcome: | The proposed task is useful as a practical application and presents a highly challenging problem worthy of study. |