[文献阅读]—Cross-lingual Language Model Pretraining - Code World

[文献阅读]—Cross-lingual Language Model Pretraining

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Origin blog.csdn.net/jokerxsy/article/details/120887455

[文献阅读]—Cross-lingual Language Model Pretraining

In-depth understanding of deep learning - BERT derived model: cross-lingual model XLM (Cross-lingual Language Model)

Three steps of Cross-Lingual TTS based on RTVC-7 Voice Cloning Model: The second step Tuned-EarSpeech does not cross-language experimental observation

【LLM系列之GLM】GLM: General Language Model Pretraining with Autoregressive Blank Infilling

[文献阅读]—Unsupervised Cross-lingual Representation Learning at Scale

Three steps of Cross-Lingual TTS based on RTVC-7 Voice Cloning Model: Second step Tuned-GE2E-SayEN-EarSpeech non-cross and cross-language experimental observation

Paper notes: Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training

pretraining glove readable model into word2vec

CLIP Contrastive Language-Image Pretraining Paper Reading Notes

Deep Bidirectional Language-Knowledge Graph Pretraining paper reading

[文献阅读]——AMBERT: A PRE-TRAINED LANGUAGE MODEL WITH MULTI-GRAINED TOKENIZATION

[文献阅读]—Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT

Three steps of Cross-Lingual TTS based on RTVC-7 Voice Cloning Model: The first step is to build Pretrained-EarSpeech

Three steps of Cross-Lingual TTS based on RTVC-7 Voice Cloning Model: Second step Tuned-EarSpeech construction

【论文笔记】BEIT 3 ——Image as a Foreign Language: BEIT Pretraining forAll Vision and Vision-Language Tasks

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Three steps of Cross-Lingual TTS based on RTVC-7 Voice Cloning Model: The second step is when Tuned-EarSpeech is ASV-T-SNE

Three steps of Cross-Lingual TTS based on RTVC-7 Voice Cloning Model: The second step is Tuned-GE2E-SayEN-EarSpeech

Three steps of Cross-Lingual TTS based on RTVC-7 Voice Cloning Model: First step Pretrained-EarSpeech is applied to M2VoC competition

In-depth understanding of deep learning - BERT derived model: RoBERTa (A Robustly Optimized BERT Pretraining Approach)

Cross talk on basic knowledge of pre-trained language model

[文献阅读]—Language Models are Good Translators

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