Semanlink - LMs: context length AND Arxiv Doc

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Arxiv Doc - DeepMind - Discuté avec Raphaël - Hugo Larochelle - k-nearest neighbors - Language Model - LLMs: extended context window - LMs: context length - Long documents - Long-term memory - Memory in deep learning - NLP@Google - NLP@Meta - NLP@Microsoft - NLP@Princeton - Transformers -

LMs: context length AND Arxiv Doc

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8 Documents

[2404.11018] Many-Shot In-Context Learning

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2024-04-21 About

[2310.03025] Retrieval meets Long Context Large Language Models

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2023-10-07 About

[2309.12307] LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

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2023-09-26 About

[2307.02486] LongNet: Scaling Transformers to 1,000,000,000 Tokens

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2023-07-06 About

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

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2023-07-01 About

[2306.07174] Augmenting Language Models with Long-Term Memory

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2023-06-13 About

[2305.14788] Adapting Language Models to Compress Contexts

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2023-06-04 About

[2203.08913] Memorizing Transformers

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2022-05-07 About