Semanlink - Arxiv Doc ; Transformers AND Long documents

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Arxiv Doc - DeepMind - Document embeddings - LM: tokenization - LMs: context length - Long documents - Memory in deep learning - Neural Search - NLP@Amazon - NLP@Meta - Sequence-to-sequence learning - Survey / Review - Text Ranking - Transformers -

Arxiv Doc ; Transformers AND Long documents

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4 Documents

[2305.07185] MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

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2023-07-01 About

[2110.10778] Contrastive Document Representation Learning with Graph Attention Networks

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2022-03-10 About

[2010.06467] Pretrained Transformers for Text Ranking: BERT and Beyond

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2021-07-09 About

[1911.05507] Compressive Transformers for Long-Range Sequence Modelling

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2020-02-11 About