AI Research
Benchy: towards a universal language for task-oriented AI benchmarks
A universal framework standardizing how we measure and score autonomous AI agent performance.
Benchy is a semantic language and execution engine for benchmarking AI programs. A benchmark is completely specified by a program, a scoring function, and a dataset, B=(P,S,D), and is separate from the AI-system taking it; a run binds the two, R=(B,AI). Benchmarks are authored as...
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ArXiv CS.AI
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ArXiv CS.AI
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Benchy addresses the fragmentation in AI evaluation by introducing a standardized semantic language that decouples task definitions from specific model architectures. This framework enables more reproducible and rigorous performance comparisons across the rapidly evolving landscape of task-oriented AI agents.
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