Diffusion Language Models for Mobile Edge Agentic AI: Foundations, Applications, and Challenges
Diffusion language models (DLMs) offer a non-autoregressive alternative for mobile edge agentic artificial intelligence (AI) by refining tokens through iterative denoising rather than left-to-right decoding. Compared with autoregressive Transformer-based large language models (LLMs), DLMs can update multiple uncertain...
Chen-Qi Li, Ming-Hui Min, D. Niyato et al.
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