Author

Kebin Liu

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#artificial intelligence Preprint Oct 2026

Prism Attention: Proposal-Refined Index Sharing Mechanism for Efficient LLMs Inference

Long-context decoding in large language models (LLMs) is increasingly bottlenecked by the memory and computation required to attend over an ever-growing Key-Value (KV) cache at each autoregressive step. Although token-level sparse attention reduces this burden by restricting computation to a small subset of relevant pa...

Zhen-Xu Tian, Ke-Bin Liu, Zheng-Wu Yang et al. · 0 citations

#machine learning Apr 2026

Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference

Flux Attention is introduced, a context-aware framework that dynamically optimizes attention computation at the layer level by integrating a lightweight Layer Router into frozen pretrained LLMs, which adaptively routes each layer to FA or SA based on the input context.

Quantong Qiu, Zhiyi Hong, Yi Yang et al. · arXiv.org · 0 citations