CAT-LLM: Prompting Large Language Models with Text Style Definition for Chinese Article-style Transfer

Project Structure

The project is organized into several key directories and modules. Here's an overview of the project structure:

├── bert-base-chinese # Store bert-base-chines file used in our experiment, .
├── data # Store five dataset.
├── Models # Core codebase.
│ ├── Baichuan # Three Baichuan operations.
│ ├── ChatGLM # Three ChatGLM operations.
│ └── GPT-3.5 # Three GPT-3.5 operations.
├── sentence_word_define_dataset # Store sentence_word_define_dataset.
├── TST_sentence # Store TST_sentence classification models.
├── ACC_BLEU_BERT # Store BLEU_BERT metrics.
├── All_style_define # Store TSD module.
└── Content_preserve # Store Content_preserve code.