[Presentation] HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification

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Origin blog.csdn.net/qq_43592352/article/details/130916951

[Presentation] HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification

[Paper & Model Explanation] Text Classification Towards Unified Prompt Tuning for Few-shot Text Classification

Read the paper: "Hierarchical Attention Network for Document Classification" - Hierarchical attention network for text classification

prompt tuning

Text classification fine-tuning skills in practice 2.0

Visual Prompt Tuning

[Notes] paper ULMFiT - Universal Language Model Fine-tuning for Text Classification

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Text Classification

[NLP | Natural Language Processing] BERT Prompt Text Classification (including source code)

Research and Application of Pre-training Model Fine-tuning for Text Classification Task [t5 & prefix-finetune & text-classification] The code is at the end of the article.

Presentation and classification for data collection algorithm of Section V

Cross-Modal Prompt Tuning

[Turn] [Test] software testing hierarchical classification theory

BERT model fine-tuning in practice: Use Transformers to fine-tune the BERT model for question answering and text classification tasks

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Homemade text classification

NLP text classification problem

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Bayesian text classification

TextCNN text classification

python text classification

Text classification in practice - NLP

NLP text classification

Text Classification Task

Fastbert does text classification

【LLM】Prompt tuning large model fine-tuning practice

In which scenarios does Prompt Tuning perform better than Fine Tuning?

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