Tag: Stochasticity

During the early era of static code generation benchmarks and closed-world question answering, capability evaluation followed a linear, single-shot formulation. Language models were provided with a prompt and evaluated on Pass@1—the percentage of tasks resolved correctly on the first attempt using greedy decoding or zero-temperature sampling. To inspect output diversity and model search distributions, researchers […]