[文献阅读]——MASS: Masked Sequence to Sequence Pre-training for Language Generation - 代码天地

[文献阅读]——MASS: Masked Sequence to Sequence Pre-training for Language Generation

其他 2021-11-27 16:01:43 阅读次数: 0

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转载自blog.csdn.net/jokerxsy/article/details/121422386

[文献阅读]——MASS: Masked Sequence to Sequence Pre-training for Language Generation

论文解读：PRINCE: Prefix-Masked Decoding for Knowledge Enhanced Sequence-to-Sequence Pre-Training

论文阅读总结：UniLM(Unified Language Model Pre-training for Natural Language Understanding and Generation)

[文献阅读]——ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for NLU(TBC)

Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation | 文本生成系列论文阅读笔记

Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting翻译

BLIP:Bootstrapping language-image pre-training for unified VL understanding and generation

论文阅读VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

论文阅读：BERT：Pre-training of Deep Bidirectional Transformers for Language Understanding

【论文阅读】BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

论文阅读-（GLIP）Grounded Language-Image Pre-training （目标检测+定位）

sequence

机器学习 - LSTM应用之sequence generation

跨模态检索论文阅读：(PTP)Position-guided Text Prompt for Vision-Language Pre-training

跨模态检索论文阅读：Multi-Grained Vision Language Pre-Training: Aligning Texts with VisualConcepts(X-VLM)

论文阅读 | Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model

ACL 2022：Graph Pre-training for AMR Parsing and Generation

BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

REALM: Retrieval-Augmented Language Model Pre-Training

Grounded Language-Image Pre-training论文笔记

Sequence to Sequence Learning with Neural Networks阅读笔记

【论文阅读】Sequence to Sequence Learning with Neural Network

【论文阅读】Sequence to Sequence Learning with Neural Networks

论文阅读 | ACL2019 Exploring Pre-trained Language Models for Event Extraction and Generation

[blog] Training Sequence Models with Attention

论文笔记 --《Unified Language Model Pre-training for Natural Language Understanding a

【论文笔记】BLIP: Bootstrapping Language-Image Pre-training forUnified Vision-Language Understanding and

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Genera

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Mode

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