1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2026
Lil: Less is Less When Applying Post-Training Sparse-Attention Algorithms in Long-Decode Stage
Junhao Hu, Fangze Li, Mingtao Xu +9
Large language models (LLMs) demonstrate strong capabilities across a wide range of complex tasks and are increasingly deployed at scale, placing significant demands on inference e…
cs.DB2022★ 1 cited
GDsmith: Detecting Bugs in Graph Database Engines
Wei Lin, Ziyue Hua, Luyao Ren +3
Graph database engines stand out in the era of big data for their efficiency of modeling and processing linked data. There is a strong need of testing graph database engines. Howev…