这一目标的实现,主要是借助文章提出的伪掩码语言模型(Pseudo-Masked Language Models \ PMLM),参考下图。 Unlimv2的预训练分为两部分:AE部分与遮蔽词预测任务一致,都是预测句子中的[MASK]掩码,partially AR部分是预测句子中的[P]掩码,我们可以看到在被预测词x2,x4,x5的三个位置处,分别有三个位置嵌入一致的P掩...
【预训练-数据】Instruction Pre-Training: Language Models are Supervised Multitask Learners 1. 目标 实现了一种基于语料生成指令+响应对的方法(模型),并在预训练和继续预训练领域取得了很好的效果。 2. 步骤 筛选一些开源的数据集,构建合适的指令-回复对作为训练数据。 用训练数据去微调基座LLM,得到指令合成器。
ELECTRA, the generator-discriminator pre-training framework, has achieved impressive semantic construction capability among various downstream tasks. Despite the convincing performance, ELECTRA still faces the challenges of monotonous training and deficient interaction. Generator with only masked language modeling...
continual pre-training of language modelscontinual pre-training of language models 语言模型的持续预训练 重点词汇 continual连续的;不间断的;多次重复的,频繁的;接连不断的;频频的 models模型;设计;型;样式;复制;做模特儿;穿戴展示;将…做成模型; model的第三人称单数和复数...
LinkBERT: Pretraining Language Models with Document Links Link BERT:带有文档链接的预训练语言模型 源码位置: https://github.com/michiyasunaga/LinkBERT 摘要 语言模型(LM)预训练可以从文本语料库中学习各种知识,帮助下游任务。然而,现有的方法(如BERT)对单个文档建模,并且不能捕获跨文档的依赖关系或知识。在这...
language model (LM) which learns semantic information from the monolingual corpus. This paper focuses on the pre-training of LM in unsupervised machine translation and proposes a pre-training method, NER-MLM (named entity recognition masked language model). Through performing NER, the proposed ...
This paper presents a new Unified pre-trained Language Model (UNILM) that can be fine-tuned for both natural language understanding and generation tasks. The model is pre-trained using three types of language modeling tasks: unidirectional, bidirectional, and sequence-to-sequence prediction. The ...
The code and pre-trainedmodels are available at https://github.com/microsoft/unilm.1 IntroductionLanguage model (LM) pre-training has substantially advanced the state of the art across a varietyof natural language processing tasks [ 8 , 29 , 19 , 31 , 9 , 1 ]. Pre-trained LMs learn ...
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang ACL 2022|May 2022 Download BibTex Pre-trained language models (PLMs) aim to learn universal language representations by conducting self-supervised training tasks on large-scale corpora. Since...
两种方法 for cross-lingual language models(XLMs): 基于单语语料的无监督学习 基于平行语料的有监督学习 result: 得到SOTA 级别的跨语言分类结果 SOTA级别的无监督和有监督机器翻译 contribution: 提出一种新的使用跨语言语言模型,学习跨语言表示的无监督方法 ...