Papers by Alsu Sagirova
Uncertainty Guided Global Memory Improves Multi-Hop Question Answering (2023.emnlp-main)
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| Challenge: | Transformers are used to solve multi-hop question answering tasks that require reasoning over multiple parts of a long document. |
| Approach: | They propose a method that collects relevant information over the entire document and then combines it with local context to solve a multi-hop question answering task. |
| Outcome: | The proposed method improves on three MHQA datasets compared to the baseline model. |