Author

Dongfang Li

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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

Preprint Aug 2026

LycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation

The results suggest that the accuracy--cost trade-off of long-term agent memory depends not only on what information is retained, but also on the granularity at which it is consolidated, and that the accuracy--cost trade-off of long-term agent memory depends not only on what information is retained, but also on the gra...

Dongfang Li, Zi-Xuan Liu, Junmai Wang et al. · 3 citations

#artificial intelligence Preprint Jul 2026

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD

This work demonstrates a full-stack pathway from efficient trillion-parameter model post-training on Ascend infra to domain-specialized Flash models for solver-grounded mathematical modeling, advancing frontier-model systems for complex reasoning.

Dongfang Li, Xiaodong Luo, Ruoyu Sun et al. · 0 citations