Identifying and Mitigating Systemic Measurement Bias in Production LLM Inference Benchmarks 事件

Identifying and Mitigating Systemic Measurement Bias in Production LLM Inference Benchmarks arXiv:2605.24217v1 Announce Type: new Abstract: As Large Language Models (LLMs) transition from research environments to production deployments, evaluating their performance against strict Service Level Objectives (SLOs) has become critical. However, current evaluation methodologies suffer from severe measurement bias at scale. We demonstrate that widely used benchmarking utilities rely on single-process