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README.md
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# DiffuSpace
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**Building the next foundation model paradigm beyond autoregression.**
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We build diffusion language models to explore new possibilities for machine intelligence. Through parallel generation, bidirectional modeling, and iterative refinement, we aim to make language generation more flexible, efficient, and controllable.
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We believe intelligence should consider the whole context, navigate uncertainty, and refine possibilities into answers.
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## Research Directions
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- **Diffusion Language Models** — Advancing diffusion as a foundation for language modeling beyond token-by-token generation.
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- **Reasoning & Planning** — Exploring how iterative refinement supports complex reasoning, search, and planning.
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- **Code Generation** — Developing diffusion models for code generation and infilling.
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- **Multimodal Intelligence** — Extending diffusion language model backbones to vision-language and vision-language-action modeling.
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## Explore DiffuSpace
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🌐 [Website](https://diffuspace.ai/) · 📚 [Research](https://diffuspace.ai/research) · 💬 [Try Our Chat](https://diffuspace.ai/demos/chat/)
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*Shaping structure from possibilities.*
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