这项由上海交通大学邓志杰教授团队领导的研究发表于2025年1月，论文题为《Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing》。

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这项由复旦大学计算机科学学院的宋雨容、刘晓然等研究者领导的研究发表于2025年8月，论文名为《Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction》。有兴趣深入了解的读者可以通过arXiv:2508.02558v1访问完整论文。研究团队还包括来自上海创新研究院和上海AI ...

Today, these technologies have become available to more people thanks to user-friendly interfaces and solutions based on the cloud Their combined use allows for a multimodal AI system that can ...

PALO ALTO, Calif., November 06, 2025--(BUSINESS WIRE)--Inception, the company pioneering diffusion large language models (dLLMs), today announced it has raised $50 million in funding. The round was ...

It’s hard to ignore the buzz around artificial intelligence these days. Whether it’s the promise of smarter virtual assistants, robots that can perform backflips, or AI models that churn out lifelike ...

We have witnessed the effectiveness of AI systems such as Large Language Models (LLMs) and diffusion models on their own However, it is with the combination of both models that marketers can craft ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers from UCLA and Meta AI have ...

In the two months since a little-known Chinese company called DeepSeek released a powerful new open-source AI model, the breakthrough has already begun to transform the global AI market. DeepSeek-V3, ...