AURORA-LM: Diffusion Models Master High-Fidelity Text Representations
jiqizhixin · x · 2026-08-18
Why does text generation still rely on 1990s-style token tricks while images and video flow through continuous spaces? Nanjing University, NTU, and Imperial College London introduce AURORA-LM.
Core Innovation:
- Instead of downsizing data to fit the generator, it retains a rich, fully decodable text representation.
- Teaches the diffusion model to master this complexity directly, akin to compressing a movie into a high-res file and training AI to understand the whole file.
Performance:
- Beats all other continuous and diffusion-based language models on free-form text generation (OpenWebText) and summarization (XSum).
- Scaled to 1B parameters, it outperforms a larger rival model using less compute.
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