Author

Chao Jin

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Preprint Sep 2026

DeepSeek Elastic Compute (DSec): A Sandbox Infrastructure for Effective Agentic Training at Scale

Large-scale agentic training and evaluation with large language models (LLMs) rely on isolated, stateful execution environments in which models inspect repositories, invoke tools, execute commands, and interact with task-specific services. These workloads create sandboxes in large bursts, span heterogeneous functionali...

Jia-Liang Huang, Hong-Xuan Tang, Jing-Chang Chen et al. · 3 citations

#natural language process... Preprint Sep 2026

DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression

The widespread adoption of long-horizon agents has made model workloads increasingly input-heavy. Although prior work has substantially reduced the cost of long-context computation, prefill remains computationally expensive, and large KV caches continue to strain HBM and SSD capacity and data-transfer bandwidth. Togeth...

De Xu, B. Li, Bang Lin et al. · 93 citations · ⚡4

Jul 2026

ExpertPlex: A High-Goodput Disaggregated Serving System for MoE LLMs with Adaptive Persistent Kernels

ExpertPlex is presented, which shares massive MoE experts across phases while disaggregating lightweight attention modules to eliminate over 95% of duplicate model weights and multiplexes dynamically sparse computation, while attention disaggregation reduces attention communication cost.

Bing-Ya Wu, Chao Jin, Zili Zhang et al. · arXiv.org · 1 citation