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|[[Deep contextualized word representations (ELMo)]] || 2018/02/15 || [[arxiv:1802.05365]] || [[Natural Language Processing]] ||  || [[ELMo]]
|[[Deep contextualized word representations (ELMo)]] || 2018/02/15 || [[arxiv:1802.05365]] || [[Natural Language Processing]] ||  || [[ELMo]]
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|[[GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding]] || 2018/04/20 || [[arxiv:1804.07461]]<br>[https://gluebenchmark.com/ website] || [[Natural Language Processing]] ||  || [[GLUE]]
|[[GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding]] || 2018/04/20 || [[arxiv:1804.07461]]<br>[https://gluebenchmark.com/ website] || [[Natural Language Processing]] ||  || [[GLUE]] ([[General Language Understanding Evaluation]])
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|[[BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding]] || 2018/10/11 || [[arxiv:1810.04805]] || [[Natural Language Processing]] || [[Google]] || [[BERT]]
|[[BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding]] || 2018/10/11 || [[arxiv:1810.04805]] || [[Natural Language Processing]] || [[Google]] || [[BERT]] ([[Bidirectional Encoder Representations from Transformers]])
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|[[Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context]] || 2019/01/09 || [[arxiv:1901.02860]]<br>[https://github.com/kimiyoung/transformer-xl github] ||  ||  || [[Transformer-XL]]
|[[Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context]] || 2019/01/09 || [[arxiv:1901.02860]]<br>[https://github.com/kimiyoung/transformer-xl github] ||  ||  || [[Transformer-XL]]
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|[[MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer]] || 2021/10/05 || [[arxiv:2110.02178]]<br>[https://github.com/apple/ml-cvnets GitHub] || [[Computer Vision]] || [[Apple]] || [[MobileViT]]
|[[MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer]] || 2021/10/05 || [[arxiv:2110.02178]]<br>[https://github.com/apple/ml-cvnets GitHub] || [[Computer Vision]] || [[Apple]] || [[MobileViT]]
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|[[LaMDA: Language Models for Dialog Applications]] || 2022/01/20 || [[arxiv:2201.08239]]<br>[https://blog.google/technology/ai/lamda/ Blog Post] || [[Natural Language Processing]] || [[Google]] || [[LaMDA]]
|[[LaMDA: Language Models for Dialog Applications]] || 2022/01/20 || [[arxiv:2201.08239]]<br>[https://blog.google/technology/ai/lamda/ Blog Post] || [[Natural Language Processing]] || [[Google]] || [[LaMDA]] (Language Models for Dialog Applications)
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|[[Block-Recurrent Transformers]] || 2022/03/11 || [[arxiv:2203.07852]] ||  ||  ||  
|[[Block-Recurrent Transformers]] || 2022/03/11 || [[arxiv:2203.07852]] ||  ||  ||  
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|[[Memorizing Transformers]] || 2022/03/16 ||[[arxiv:2203.08913]] ||  ||  ||  
|[[Memorizing Transformers]] || 2022/03/16 ||[[arxiv:2203.08913]] ||  ||  ||  
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|[[STaR: Bootstrapping Reasoning With Reasoning]] || 2022/03/28 || [[arxiv:2203.14465]] ||  ||  || [[STaR]]
|[[STaR: Bootstrapping Reasoning With Reasoning]] || 2022/03/28 || [[arxiv:2203.14465]] ||  ||  || [[STaR]] ([[Self-Taught Reasoner]])
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|[[Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback]] || 2022/04/12 || [[arxiv:2204.05862]]<br>[https://github.com/anthropics/hh-rlhf GitHub] || [[Natural Language Processing]] || [[Anthropic]] || [[RLHF]] ([[Reinforcement Learning from Human Feedback]])
|[[Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback]] || 2022/04/12 || [[arxiv:2204.05862]]<br>[https://github.com/anthropics/hh-rlhf GitHub] || [[Natural Language Processing]] || [[Anthropic]] || [[RLHF]] ([[Reinforcement Learning from Human Feedback]])
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|[[PaLM: Scaling Language Modeling with Pathways]] || 2022/04/05 || [[arxiv:2204.02311]]<br>[https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html Blog Post] || [[Natural Language Processing]] || [[Google]] || [[PaLM]]
|[[PaLM: Scaling Language Modeling with Pathways]] || 2022/04/05 || [[arxiv:2204.02311]]<br>[https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html Blog Post] || [[Natural Language Processing]] || [[Google]] || [[PaLM]] ([[Pathways Language Model]])
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|[[Constitutional AI: Harmlessness from AI Feedback]] || 2021/12/12 || [[arxiv:2212.08073]] || [[Natural Language Processing]] || [[Anthropic]] || [[Constitutional AI]], [[Claude]]
|[[Constitutional AI: Harmlessness from AI Feedback]] || 2021/12/12 || [[arxiv:2212.08073]] || [[Natural Language Processing]] || [[Anthropic]] || [[Constitutional AI]], [[Claude]]
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|[[InstructPix2Pix: Learning to Follow Image Editing Instructions]] || 2021/11/17 || [[arxiv:2211.09800]]<br>[https://www.timothybrooks.com/instruct-pix2pix Blog Post] || [[Computer Vision]] || [[UC Berkley]] || [[InstructPix2Pix]]
|[[InstructPix2Pix: Learning to Follow Image Editing Instructions]] || 2021/11/17 || [[arxiv:2211.09800]]<br>[https://www.timothybrooks.com/instruct-pix2pix Blog Post] || [[Computer Vision]] || [[UC Berkley]] || [[InstructPix2Pix]]
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|[[REALM: Retrieval-Augmented Language Model Pre-Training]] || 2020/02/10 || [[arxiv:2002.08909]]<br>[https://ai.googleblog.com/2020/08/realm-integrating-retrieval-into.html Blog Post] || [[Natural Language Processing]] || [[Google]] || [[REALM]]
|[[REALM: Retrieval-Augmented Language Model Pre-Training]] || 2020/02/10 || [[arxiv:2002.08909]]<br>[https://ai.googleblog.com/2020/08/realm-integrating-retrieval-into.html Blog Post] || [[Natural Language Processing]] || [[Google]] || [[REALM]] ([[Retrieval-Augmented Language Model Pre-Training]])
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