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GroupKV: Hierarchical KV Cache Management for Long-Context Diffusion LLM Inference
Diffusion large language models (dLLMs) are emerging as a promising generative paradigm that complements autoregressive decoding. In long-context settings, KV cache bloat and offloading transfer overhead have become primary bottlenecks in inference systems. Meanwhile, the periodic full-sequence reco
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