Author

Chris Wu

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Preprint Sep 2026

RR-Evict: Fine-Grained Prefix Cache Eviction beyond LRU for Agentic LLM Serving

LLM-based agents execute long-horizon tasks through repeated model calls interleaved with tool execution and user interaction. As each call extends the history accumulated in previous turns, prefix caching avoids repeated prefill of the agent's entire context. However, the aggregate cache footprint grows with context l...

Zai-Feng Pan, Chris Wu, Zheng-Ding Hu et al. · 0 citations

Preprint Sep 2026

AgentReplay: Token-Wise Trace Replay Is Essential for Fair Serving System Performance Benchmarking

LLM-based agents execute multi-turn workflows with interleaved model inference and tool calls, making efficient serving increasingly important. However, evaluating serving optimizations is challenging because identical tasks can produce different execution trajectories. Changes in generated tokens can alter subsequent...

Zai-Feng Pan, Michael Wang, Chris Wu et al. · 0 citations