kuleshov-group/mdlm
[NeurIPS 2024] Simple and Effective Masked Diffusion Language Model
This project offers a sophisticated tool for generating high-quality text by filling in masked or missing parts of sentences. It takes partial or garbled text as input and efficiently produces complete, coherent sentences or longer sequences. This is ideal for researchers and practitioners working on advanced language generation tasks.
657 stars. No commits in the last 6 months.
Use this if you need to generate high-quality, coherent text sequences quickly and efficiently, especially from incomplete or noisy inputs.
Not ideal if your primary need is for a simple, off-the-shelf text generation tool without needing to engage with underlying model architectures or advanced sampling techniques.
Stars
657
Forks
91
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 29, 2025
Commits (30d)
0
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