Here are the core insights and benefits distilled from our theoretical analysis and empirical evaluations: 📈 Logarithmic Scaling Law: We theoretically and ...

The generation speed of LLMs are bottlenecked by autoregressive decoding, where tokens are predicted sequentially one by one. Alternatively, diffusion large language models (dLLMs) theoretically allow ...