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20242026
most citedLServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention

1 citations · 2 across the 7 of their papers we have counts for

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cs.CL2025

Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search

Yuxian Gu, Qinghao Hu, Shang Yang +4

We present Jet-Nemotron, a new family of hybrid-architecture language models, which matches or exceeds the accuracy of leading full-attention models while significantly improving g…

cs.CL2025★ 1 cited

LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention

Shang Yang, Junxian Guo, Haotian Tang +7

Large language models (LLMs) have shown remarkable potential in processing long sequences and complex reasoning tasks, yet efficiently serving these models remains challenging due…