arXiv (OAI Expanded)
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Self-Orchestrating Language Models: Leveraging Semantic Dependence for Efficient Inference
Large language models (LLMs) demonstrate impressive capabilities, but their deployment presents significant efficiency challenges. Autoregressive decoding imposes substantial inference latency and under-utilizes hardware accelerators in low batch size regimes. Discrete diffusion models can generate
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