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Standardized evaluations of an AI's ability to design and analyze scientific experiments.
Distinct from Automation Capability Benchmarks: Specializes automation benchmarks to the scientific method and research rigor
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This project is an LLM research orchestrator and autonomous AI agent framework designed to automate the scientific lifecycle. It functions as an end-to-end research pipeline and model training toolkit, managing everything from initial literature reviews and hypothesis testing to the final drafting of academic papers. The system is distinguished by its ability to convert unstructured academic PDFs into machine-executable knowledge layers, allowing agents to reproduce and extend research findings. It employs a two-loop orchestration architecture and a specialized research engineering skill libr
Evaluates the ability of AI systems to autonomously design and analyze scientific experiments with rigor.