Hzfinfdu/Diffusion-BERT
ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
This project helps machine learning researchers and natural language processing engineers generate high-quality text. It takes a trained language model (like BERT) and applies diffusion model techniques to produce more coherent and contextually relevant text outputs. The end-user is typically someone working on advanced text generation tasks in NLP research.
339 stars. No commits in the last 6 months.
Use this if you are a researcher focused on improving the quality and diversity of text generated by masked language models for tasks like unconditional text generation.
Not ideal if you are looking for an out-of-the-box solution for specific downstream applications like summarization or translation without significant custom development.
Stars
339
Forks
28
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 17, 2024
Commits (30d)
0
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