Merge branch 'main' of https://github.com/romilbhardwaj/Awesome-LLM

emmanuelq2 · Jul 3, 2023 · 22cd9c0 · 22cd9c0
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 | :-----: | :------------------: | :--------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :---------: |
 | 2017-06 |     Transformers     |      Google      | [Attention Is All You Need](https://arxiv.org/pdf/1706.03762.pdf)                                                                                                                      |   NeurIPS   |
 | 2018-06 |       GPT 1.0       |      OpenAI      | [Improving Language Understanding by Generative Pre-Training](https://www.cs.ubc.ca/~amuham01/LING530/papers/radford2018improving.pdf)                                                 |            |
-| 2018-10 |         BERT         |      Google      | [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://aclanthology.org/N19-1423.pdf)                                                              |    NAACL    |
+| 2018-10 |         BERT         |      Google      | [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://aclanthology.org/N19-1423.pdf)                                                              |    NAACL [![Citation Badge](https://api.juleskreuer.eu/citation-badge.php?doi=10.18653/v1/N19-1423)](https://juleskreuer.eu/projekte/citation-badge/)    |
 | 2019-02 |       GPT 2.0       |      OpenAI      | [Language Models are Unsupervised Multitask Learners](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf)              |            |
 | 2019-09 |     Megatron-LM     |      NVIDIA      | [Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism](https://arxiv.org/pdf/1909.08053.pdf)                                                          |            |
 | 2019-10 |          T5          |      Google      | [Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer](https://jmlr.org/papers/v21/20-074.html)                                                           |    JMLR    |