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Author

Shuai-Shuai Wang

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Preprint Sep 2026

The KV Cache Working Set: Online Capacity Planning for LLM Inference Systems

Prefix caching is critical for efficient large language model (LLM) serving, particularly for agentic workloads that repeatedly invoke the model with a growing conversation and tool-use history. By reusing the key-value (KV) states of previously processed prefixes, prefix caching avoids redundant prefill computation. I...

Lu-Chang Li, Shuai-Shuai Wang, Zhao Ruan et al. · 0 citations
#artificial intelligence Preprint Sep 2026

AutoDataBench: Can Agents Write the Data That Feeds the Self-Improvement Loop?

Recent gains in language model capability have come more from data than from architecture. Frontier labs and data companies produce verifiable agentic tasks, which supervised finetuning and reinforcement learning then turn into capability.This production line still rests on human labour and on human-in-the-loop collabo...

Haotian Luo, Hao-Yu Wang, Ze-Yu Qin et al. · 0 citations

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