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Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds (NAACL'22)
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
The official GitHub page for the survey paper "A Survey of Large Language Models".
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Must-read papers on prompt-based tuning for pre-trained language models.
RoBERTa中文预训练模型: RoBERTa for Chinese
A Toolkit for Industrial Topic Modeling
A Python toolbox for gaining geometric insights into high-dimensional data
Interact, analyze and structure massive text, image, embedding, audio and video datasets
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.