(26)Wang等 《Self-Instruct: Aligning Language Model with Self Generated Instructions 》2022 [117] 本文参考论文《A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT》 发展历史: 预训练基础模型 (PFM) 被视为具有不同数据模式的各种下游任务的基础。 PFM(例如 BERT、Ch...
The survey further highlights some techniques that can help boost the performance of these systems. The findings in terms of performance improvement reveal that the models with better performance use either one or a combination of these strategies: (1) Domain Adaptation, (2) Model Augmentation, (...
UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation, arXiv 2020/02 Other Resources Two recent surveys on pretrained language models Pre-trained Models for Natural Language Processing: A Survey, arXiv 2020/03 A Survey on Contextual Embeddings, arXiv 2...
https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language-unsupervised/language_understanding_paper.pdf 201801 Universal Language Model Fine-tuning for Text Classification https://arxiv.org/pdf/1801.06146.pdf 训练双向LM,采用多任务训练方式 特殊的学习率实现:1) 逐层降低学习率, 2) ...
Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domainsarxiv.org/abs/2106.13474 CODE:AdaLM Abstract: 大型预训练模型在许多自然语言处理任务中取得了巨大的成功。然而,当这些模型应用于特定的领域时,往往会出现领域迁移(domain shift)的问题,并且会因为延迟和容量限制原因...
图片来自于论文: [A Survey of Large Language Models](https://arxiv.org/pdf/2303.18223.pdf) 在自然语言处理领域中,预训练语言模型(Pretrained Language Models)已成为非常重要的基础技术,本仓库主要收集目前网上公开的一些高质量中文预训练模型(感谢分享资源的大佬),并将持续更新...Expand...
1b. We integrate a crossmodal architecture built for action-language tasks deeply into a pretrained LLM. This allows using the pretrained weights of the LLM while using the training procedure of the crossmodal architecture. The training of the new model, which is called CrossT5, uses a ...
The paper introducing the LoRA method: Edward J. Huet al., “LoRA: Low-Rank Adaptation of Large Language Models” (2021),https://arxiv.org/abs/2106.09685. A survey of more than 40 research papers covering parameterefficient finetuning methods: Vladislav Lialin, Vijeta Deshpande, and Anna Rum...
Pre-trained Models for Natural Language Processing: A Survey. Xipeng Qiu et.al. BERT-related-papers Pre-trained Languge Model Papers from THU-NLP Surveys About Efficient Transformers Efficient Transformers: A Survey. Yi Tay, Mostafa Dehghani et.al. Arxiv 2020.About...
The papermT5: A Massively Multilingual Pre-Trained Text-to-Text Transformeris onarXiv. The associated code and model checkpoints are available on the projectGitHub. Analyst: Yuqing Li |Editor: Michael Sarazen Synced Report |A Survey of China’s Artificial Intelligence S...