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Jun-Fei Zhan

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#artificial intelligence Preprint Sep 2026

FDE-Bench: Evaluating LLM Agents for Deployment Environment Configuration

Deployment requires an agent to turn application code into a running system whose services connect, become ready, and remain observable. FDE-Bench evaluates this capability with 136 deployment-configuration tasks spanning Docker images, multi-service Compose stacks, and Kubernetes, in greenfield and diagnose-and-repair...

Wei-Hang Ding, Jun-Fei Zhan, Yue-Ting Li et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Trains but Doesn't Learn: A Post-Training Delivery Benchmark for LLM Agents as Forward-Deployed Engineers

Post-training is becoming a service (PTaaS): a customer hands an operator data and a goal, and a forward-deployed engineer (FDE) returns a fine-tuned, evaluated, and deployed model under a budget, a human-approval gate, and reproducibility requirements. Seating an LLM agent in the FDE seat raises a question existing be...

Wei-Hang Ding, Jun-Fei Zhan · 0 citations

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