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Yu-Zhe Guo

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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
Jul 2026

BackendForge: Benchmarking Agentic End-to-End Code Generation with Backend Services

BackendForge is introduced, a benchmark of 56 contract-defined backend generation tasks rewritten from real open-source applications that suggests that current LLMs can implement many local API behaviors, but still struggle to produce complete backend services.

Yuzhe Guo, Mengzhou Wu, Yuan Cao et al. · 0 citations

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