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Lu et al.: templated end-to-end automated ML research workflow

Contribution grade

Automated machine-learning research systems · Human-designed research method or resource

Reference score125,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Integrated LLM-based idea generation, experiment coding/execution, analysis, manuscript drafting and simulated reviewing within human-provided ML research templates.

Scientific scope

Integrated LLM-based idea generation, experiment coding/execution, analysis, manuscript drafting and simulated reviewing within human-provided ML research templates. Original framework depends on human templates, models, evaluation and computing. Automated-review thresholds are not acceptance by an actual conference; generated manuscripts are not certified discoveries. Only non-biological ML workflow acquired. Code execution, paid model use and paper evaluation were not replayed here.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Original framework depends on human templates, models, evaluation and computing. Automated-review thresholds are not acceptance by an actual conference; generated manuscripts are not certified discoveries. Only non-biological ML workflow acquired. Code execution, paid model use and paper evaluation were not replayed here.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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