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cs.CL2025
A Unified Sparse Attention via Multi-Granularity Compression
Siran Liu, Zane Cao, Yongchao He
Efficient long-context understanding and reasoning are increasingly vital for large language model (LLM) applications such as multi-turn dialogue and program analysis. However, the…
cs.CL2025
HeteroSpec: Leveraging Contextual Heterogeneity for Efficient Speculative Decoding
Siran Liu, Yang Ye, Qianchao Zhu +2
Autoregressive decoding inherently limits the inference throughput of Large Language Model (LLM) due to its sequential dependency. Speculative decoding mitigates this by verifying…