Papers with Long document classification
NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents (2024.acl-long)
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| Challenge: | (large) language models struggle to process long sequences due to the quadratic scaling of the underlying attention mechanism. |
| Approach: | They propose a Masked Language Model operating on higher-level semantic representations in the form of text embeddings to solve this problem. |
| Outcome: | The proposed model outperforms larger embedding models on three types of tasks. |