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|'''[[Attention Is All You Need]]''' || [[arxiv:1706.03762]] || influential paper that introduced [[Transformer]] | |'''[[Attention Is All You Need]]''' || [[arxiv:1706.03762]] || influential paper that introduced [[Transformer]] | ||
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| | |'''[[An Image is Worth 16x16 Words]]''' || [[arxiv:2010.11929]] || Transformers for Image Recognition at Scale - [[Vision Transformer]] ([[ViT]]) | ||
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| | |'''[[Block-Recurrent Transformers]]''' || https://arxiv.org/abs/2203.07852 || | ||
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|'''[[Language Models are Few-Shot Learners]]''' || https://arxiv.org/abs/2005.14165 || [[GPT]] | |||
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|'''[[Memorizing Transformers]]''' || https://arxiv.org/abs/2203.08913 || | |||
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|'''[[MobileViT]]''' || https://arxiv.org/abs/2110.02178 || Light-weight, General-purpose, and Mobile-friendly Vision Transformer | |||
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|'''[[OpenAI CLIP]]''' || https://arxiv.org/abs/2103.00020, https://openai.com/blog/clip/ || Learning Transferable Visual Models From Natural Language Supervision | |||
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|'''[[STaR]]''' || https://arxiv.org/abs/2203.14465 || Bootstrapping Reasoning With Reasoning | |||
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|'''[[Transformer-XL]]''' || https://arxiv.org/abs/1901.02860 || Attentive Language Models Beyond a Fixed-Length Context | |||
|} | |} | ||
===Others=== | ===Others=== | ||
https://arxiv.org/abs/2301.13779 ([[FLAME: A small language model for spreadsheet formulas]]) - Small model specifically for spreadsheets by [[Miscrofot]] | https://arxiv.org/abs/2301.13779 ([[FLAME: A small language model for spreadsheet formulas]]) - Small model specifically for spreadsheets by [[Miscrofot]] |